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You searched for subject:(Department of Statistics AND Operations Research). Showing records 1 – 30 of 249 total matches.

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University of North Carolina

1. Lamm, Michael. Confidence Intervals for Stochastic Variational Inequalities.

Degree: Statistics and Operations Research, 2015, University of North Carolina

 This dissertation examines the effects of uncertain data on a general class of optimization and equilibrium problems. The common framework used for modeling these problems… (more)

Subjects/Keywords: Operations research; Statistics; College of Arts and Sciences; Department of Statistics and Operations Research

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APA (6th Edition):

Lamm, M. (2015). Confidence Intervals for Stochastic Variational Inequalities. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:f1b9cc95-df01-47aa-bb8b-f39700375ab3

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lamm, Michael. “Confidence Intervals for Stochastic Variational Inequalities.” 2015. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:f1b9cc95-df01-47aa-bb8b-f39700375ab3.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lamm, Michael. “Confidence Intervals for Stochastic Variational Inequalities.” 2015. Web. 04 Dec 2020.

Vancouver:

Lamm M. Confidence Intervals for Stochastic Variational Inequalities. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:f1b9cc95-df01-47aa-bb8b-f39700375ab3.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lamm M. Confidence Intervals for Stochastic Variational Inequalities. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:f1b9cc95-df01-47aa-bb8b-f39700375ab3

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

2. Yin, Liang. Confidence Region and Intervals for Sparse Penalized Regression Using Variational Inequality Techniques.

Degree: Statistics and Operations Research, 2015, University of North Carolina

 With the abundance of large data, sparse penalized regression techniques are commonly used in data analysis due to the advantage of simultaneous variable selection and… (more)

Subjects/Keywords: Statistics; Operations research; Mathematics; College of Arts and Sciences; Department of Statistics and Operations Research

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APA (6th Edition):

Yin, L. (2015). Confidence Region and Intervals for Sparse Penalized Regression Using Variational Inequality Techniques. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:2bc2eef2-c012-4957-969f-0730a6e606e0

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yin, Liang. “Confidence Region and Intervals for Sparse Penalized Regression Using Variational Inequality Techniques.” 2015. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:2bc2eef2-c012-4957-969f-0730a6e606e0.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yin, Liang. “Confidence Region and Intervals for Sparse Penalized Regression Using Variational Inequality Techniques.” 2015. Web. 04 Dec 2020.

Vancouver:

Yin L. Confidence Region and Intervals for Sparse Penalized Regression Using Variational Inequality Techniques. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:2bc2eef2-c012-4957-969f-0730a6e606e0.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yin L. Confidence Region and Intervals for Sparse Penalized Regression Using Variational Inequality Techniques. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:2bc2eef2-c012-4957-969f-0730a6e606e0

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

3. Skwerer, Sean. Tree Oriented Data Analysis.

Degree: Statistics and Operations Research, 2014, University of North Carolina

 Complex data objects arise in many areas of modern science including evolutionary biology, nueroscience, dynamics of gene expression and medical imaging. Object oriented data analysis… (more)

Subjects/Keywords: Statistics; Operations research; Mathematics; College of Arts and Sciences; Department of Statistics and Operations Research

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APA (6th Edition):

Skwerer, S. (2014). Tree Oriented Data Analysis. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:e162614f-395d-4c1b-89ef-c5bb6f6ed1ca

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Skwerer, Sean. “Tree Oriented Data Analysis.” 2014. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:e162614f-395d-4c1b-89ef-c5bb6f6ed1ca.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Skwerer, Sean. “Tree Oriented Data Analysis.” 2014. Web. 04 Dec 2020.

Vancouver:

Skwerer S. Tree Oriented Data Analysis. [Internet] [Thesis]. University of North Carolina; 2014. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:e162614f-395d-4c1b-89ef-c5bb6f6ed1ca.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Skwerer S. Tree Oriented Data Analysis. [Thesis]. University of North Carolina; 2014. Available from: https://cdr.lib.unc.edu/record/uuid:e162614f-395d-4c1b-89ef-c5bb6f6ed1ca

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

4. Liu, Minghui. Elementary reformulation and succinct certificates in conic linear programming.

Degree: Statistics and Operations Research, 2015, University of North Carolina

 The first part of this thesis deals with infeasibility in semidefinite programs (SDPs). In SDP, unlike in linear programming, Farkas’ lemma may fail to prove… (more)

Subjects/Keywords: Operations research; Mathematics; College of Arts and Sciences; Department of Statistics and Operations Research

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APA (6th Edition):

Liu, M. (2015). Elementary reformulation and succinct certificates in conic linear programming. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:3dc3048c-684b-484f-a9f8-ab40d7f2aa2b

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liu, Minghui. “Elementary reformulation and succinct certificates in conic linear programming.” 2015. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:3dc3048c-684b-484f-a9f8-ab40d7f2aa2b.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liu, Minghui. “Elementary reformulation and succinct certificates in conic linear programming.” 2015. Web. 04 Dec 2020.

Vancouver:

Liu M. Elementary reformulation and succinct certificates in conic linear programming. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:3dc3048c-684b-484f-a9f8-ab40d7f2aa2b.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu M. Elementary reformulation and succinct certificates in conic linear programming. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:3dc3048c-684b-484f-a9f8-ab40d7f2aa2b

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

5. Park, Seo Young. Flexible margin-based classification techniques.

Degree: Statistics and Operations Research, 2010, University of North Carolina

 Classification is a very useful statistical tool for information extraction. Among numerous classification methods, margin-based classification techniques have attracted a lot of attention. It can… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA (6th Edition):

Park, S. Y. (2010). Flexible margin-based classification techniques. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:5ac9af95-1dab-4fd3-8f5a-4dd4bbde61d9

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Park, Seo Young. “Flexible margin-based classification techniques.” 2010. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:5ac9af95-1dab-4fd3-8f5a-4dd4bbde61d9.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Park, Seo Young. “Flexible margin-based classification techniques.” 2010. Web. 04 Dec 2020.

Vancouver:

Park SY. Flexible margin-based classification techniques. [Internet] [Thesis]. University of North Carolina; 2010. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:5ac9af95-1dab-4fd3-8f5a-4dd4bbde61d9.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Park SY. Flexible margin-based classification techniques. [Thesis]. University of North Carolina; 2010. Available from: https://cdr.lib.unc.edu/record/uuid:5ac9af95-1dab-4fd3-8f5a-4dd4bbde61d9

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

6. Wang, Fangfang. Statistical analysis of some financial time series models.

Degree: Statistics and Operations Research, 2010, University of North Carolina

 The aim of this dissertation is to study the dynamics of asset returns under both the physical measure and the risk neutral measure. It consists… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA (6th Edition):

Wang, F. (2010). Statistical analysis of some financial time series models. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:5ab04cf0-da47-4311-b91d-f98273be2f0d

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Fangfang. “Statistical analysis of some financial time series models.” 2010. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:5ab04cf0-da47-4311-b91d-f98273be2f0d.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Fangfang. “Statistical analysis of some financial time series models.” 2010. Web. 04 Dec 2020.

Vancouver:

Wang F. Statistical analysis of some financial time series models. [Internet] [Thesis]. University of North Carolina; 2010. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:5ab04cf0-da47-4311-b91d-f98273be2f0d.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang F. Statistical analysis of some financial time series models. [Thesis]. University of North Carolina; 2010. Available from: https://cdr.lib.unc.edu/record/uuid:5ab04cf0-da47-4311-b91d-f98273be2f0d

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

7. Jacobson, Evin Uzun. Scheduling in service systems with impatient customers and insights on mass-casualty triage.

Degree: Statistics and Operations Research, 2010, University of North Carolina

 In this dissertation, we study a resource allocation problem for a service system with customers who may differ in their tolerance for wait. In this… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA (6th Edition):

Jacobson, E. U. (2010). Scheduling in service systems with impatient customers and insights on mass-casualty triage. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:ffc01bcf-94e2-436a-8c9c-84be26ff1758

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jacobson, Evin Uzun. “Scheduling in service systems with impatient customers and insights on mass-casualty triage.” 2010. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:ffc01bcf-94e2-436a-8c9c-84be26ff1758.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jacobson, Evin Uzun. “Scheduling in service systems with impatient customers and insights on mass-casualty triage.” 2010. Web. 04 Dec 2020.

Vancouver:

Jacobson EU. Scheduling in service systems with impatient customers and insights on mass-casualty triage. [Internet] [Thesis]. University of North Carolina; 2010. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:ffc01bcf-94e2-436a-8c9c-84be26ff1758.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jacobson EU. Scheduling in service systems with impatient customers and insights on mass-casualty triage. [Thesis]. University of North Carolina; 2010. Available from: https://cdr.lib.unc.edu/record/uuid:ffc01bcf-94e2-436a-8c9c-84be26ff1758

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

8. Karmakar, Moumita. Effect of promotions on sales and classifying stores based on consumer response.

Degree: Statistics and Operations Research, 2011, University of North Carolina

 In this project, we determine base sale volume as a first step to identify effect of promotions on sale. Then we classify stores based on… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA (6th Edition):

Karmakar, M. (2011). Effect of promotions on sales and classifying stores based on consumer response. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:2e38d397-77fb-40b8-b20f-e76cdb8f8b1f

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Karmakar, Moumita. “Effect of promotions on sales and classifying stores based on consumer response.” 2011. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:2e38d397-77fb-40b8-b20f-e76cdb8f8b1f.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Karmakar, Moumita. “Effect of promotions on sales and classifying stores based on consumer response.” 2011. Web. 04 Dec 2020.

Vancouver:

Karmakar M. Effect of promotions on sales and classifying stores based on consumer response. [Internet] [Thesis]. University of North Carolina; 2011. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:2e38d397-77fb-40b8-b20f-e76cdb8f8b1f.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Karmakar M. Effect of promotions on sales and classifying stores based on consumer response. [Thesis]. University of North Carolina; 2011. Available from: https://cdr.lib.unc.edu/record/uuid:2e38d397-77fb-40b8-b20f-e76cdb8f8b1f

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

9. Xu, Baowei. Option pricing in random field models with stochastic volatility for the term structure of interest rates.

Degree: Statistics and Operations Research, 2011, University of North Carolina

 In this dissertation, we introduce a general interest rate modeling framework by looking at yield curves in a Hilbert space, and bridge the popular HJM… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Xu, B. (2011). Option pricing in random field models with stochastic volatility for the term structure of interest rates. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:577d9abb-934e-40f3-ba76-42ec3f12010d

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Xu, Baowei. “Option pricing in random field models with stochastic volatility for the term structure of interest rates.” 2011. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:577d9abb-934e-40f3-ba76-42ec3f12010d.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Xu, Baowei. “Option pricing in random field models with stochastic volatility for the term structure of interest rates.” 2011. Web. 04 Dec 2020.

Vancouver:

Xu B. Option pricing in random field models with stochastic volatility for the term structure of interest rates. [Internet] [Thesis]. University of North Carolina; 2011. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:577d9abb-934e-40f3-ba76-42ec3f12010d.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xu B. Option pricing in random field models with stochastic volatility for the term structure of interest rates. [Thesis]. University of North Carolina; 2011. Available from: https://cdr.lib.unc.edu/record/uuid:577d9abb-934e-40f3-ba76-42ec3f12010d

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

10. Huang, Hanwen. Some contributions to high dimensional statistical learning.

Degree: Statistics and Operations Research, 2011, University of North Carolina

 This dissertation consists of two major contributions to high dimensional statistical learning. The focus is on classification which is one of the central research topics… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA (6th Edition):

Huang, H. (2011). Some contributions to high dimensional statistical learning. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:cf5025e6-7e60-4e02-bf8b-748a29ff7882

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Huang, Hanwen. “Some contributions to high dimensional statistical learning.” 2011. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:cf5025e6-7e60-4e02-bf8b-748a29ff7882.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Huang, Hanwen. “Some contributions to high dimensional statistical learning.” 2011. Web. 04 Dec 2020.

Vancouver:

Huang H. Some contributions to high dimensional statistical learning. [Internet] [Thesis]. University of North Carolina; 2011. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:cf5025e6-7e60-4e02-bf8b-748a29ff7882.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang H. Some contributions to high dimensional statistical learning. [Thesis]. University of North Carolina; 2011. Available from: https://cdr.lib.unc.edu/record/uuid:cf5025e6-7e60-4e02-bf8b-748a29ff7882

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

11. Baek, Changryong. Studies of several curious probabilistic phenomena: unobservable tail exponents in random difference equations, and confusion between models of long-range dependence and changes in regime.

Degree: Statistics and Operations Research, 2010, University of North Carolina

 The dissertation is centered on two research topics. The first topic concerns reduction of bias in estimation of tail exponents in random difference equations (RDEs).… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA (6th Edition):

Baek, C. (2010). Studies of several curious probabilistic phenomena: unobservable tail exponents in random difference equations, and confusion between models of long-range dependence and changes in regime. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:978c681c-e63d-4268-bdbc-c776f02e1280

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Baek, Changryong. “Studies of several curious probabilistic phenomena: unobservable tail exponents in random difference equations, and confusion between models of long-range dependence and changes in regime.” 2010. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:978c681c-e63d-4268-bdbc-c776f02e1280.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Baek, Changryong. “Studies of several curious probabilistic phenomena: unobservable tail exponents in random difference equations, and confusion between models of long-range dependence and changes in regime.” 2010. Web. 04 Dec 2020.

Vancouver:

Baek C. Studies of several curious probabilistic phenomena: unobservable tail exponents in random difference equations, and confusion between models of long-range dependence and changes in regime. [Internet] [Thesis]. University of North Carolina; 2010. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:978c681c-e63d-4268-bdbc-c776f02e1280.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Baek C. Studies of several curious probabilistic phenomena: unobservable tail exponents in random difference equations, and confusion between models of long-range dependence and changes in regime. [Thesis]. University of North Carolina; 2010. Available from: https://cdr.lib.unc.edu/record/uuid:978c681c-e63d-4268-bdbc-c776f02e1280

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

12. Shabalin, Andrey A. Detection of Low Rank Signals in Noise and Fast Correlation Mining with Applications to Large Biological Data.

Degree: Statistics and Operations Research, 2010, University of North Carolina

 Ongoing technological advances in high-throughput measurement have given biomedical researchers access to a wealth of genomic information. The increasing size and dimensionality of the resulting… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA (6th Edition):

Shabalin, A. A. (2010). Detection of Low Rank Signals in Noise and Fast Correlation Mining with Applications to Large Biological Data. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:6a46e597-9e72-44f1-bd73-f643501bc0db

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shabalin, Andrey A. “Detection of Low Rank Signals in Noise and Fast Correlation Mining with Applications to Large Biological Data.” 2010. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:6a46e597-9e72-44f1-bd73-f643501bc0db.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shabalin, Andrey A. “Detection of Low Rank Signals in Noise and Fast Correlation Mining with Applications to Large Biological Data.” 2010. Web. 04 Dec 2020.

Vancouver:

Shabalin AA. Detection of Low Rank Signals in Noise and Fast Correlation Mining with Applications to Large Biological Data. [Internet] [Thesis]. University of North Carolina; 2010. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:6a46e597-9e72-44f1-bd73-f643501bc0db.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shabalin AA. Detection of Low Rank Signals in Noise and Fast Correlation Mining with Applications to Large Biological Data. [Thesis]. University of North Carolina; 2010. Available from: https://cdr.lib.unc.edu/record/uuid:6a46e597-9e72-44f1-bd73-f643501bc0db

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

13. Liu, Xin. Diffusion Approximations for Multiscale Stochastic Networks in Heavy Traffic.

Degree: Statistics and Operations Research, 2011, University of North Carolina

 Applications arising from computer, telecommunications, and manufacturing systems lead to many challenging problems in the simulation, stability, control, and design of stochastic models of networks.… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA (6th Edition):

Liu, X. (2011). Diffusion Approximations for Multiscale Stochastic Networks in Heavy Traffic. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:8fa17f2e-8ee8-4bf0-8cf9-9d03efb7872f

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liu, Xin. “Diffusion Approximations for Multiscale Stochastic Networks in Heavy Traffic.” 2011. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:8fa17f2e-8ee8-4bf0-8cf9-9d03efb7872f.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liu, Xin. “Diffusion Approximations for Multiscale Stochastic Networks in Heavy Traffic.” 2011. Web. 04 Dec 2020.

Vancouver:

Liu X. Diffusion Approximations for Multiscale Stochastic Networks in Heavy Traffic. [Internet] [Thesis]. University of North Carolina; 2011. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:8fa17f2e-8ee8-4bf0-8cf9-9d03efb7872f.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu X. Diffusion Approximations for Multiscale Stochastic Networks in Heavy Traffic. [Thesis]. University of North Carolina; 2011. Available from: https://cdr.lib.unc.edu/record/uuid:8fa17f2e-8ee8-4bf0-8cf9-9d03efb7872f

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

14. Hays, Spencer Eric. A Functional Dynamic Factor Model.

Degree: Statistics and Operations Research, 2011, University of North Carolina

 Functional data analysis is a burgeoning area in statistics. However, much of the literature to date deals primarily with methods for collections of independent functional… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA (6th Edition):

Hays, S. E. (2011). A Functional Dynamic Factor Model. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:42b328c4-3fa3-417e-94b9-18f8754edf1e

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hays, Spencer Eric. “A Functional Dynamic Factor Model.” 2011. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:42b328c4-3fa3-417e-94b9-18f8754edf1e.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hays, Spencer Eric. “A Functional Dynamic Factor Model.” 2011. Web. 04 Dec 2020.

Vancouver:

Hays SE. A Functional Dynamic Factor Model. [Internet] [Thesis]. University of North Carolina; 2011. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:42b328c4-3fa3-417e-94b9-18f8754edf1e.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hays SE. A Functional Dynamic Factor Model. [Thesis]. University of North Carolina; 2011. Available from: https://cdr.lib.unc.edu/record/uuid:42b328c4-3fa3-417e-94b9-18f8754edf1e

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

15. Lopes, Brian J. A Ridge Restricted Maximum Likelihood Approach to Spatial Models.

Degree: Statistics and Operations Research, 2011, University of North Carolina

 Ridge restricted maximum likelihood (RREML) is a new method for regression analysis in linear models with dependent errors. Assume the linear model where the stochastic… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA (6th Edition):

Lopes, B. J. (2011). A Ridge Restricted Maximum Likelihood Approach to Spatial Models. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:9761cd4b-d17b-4242-be3f-98e5c61c16e5

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lopes, Brian J. “A Ridge Restricted Maximum Likelihood Approach to Spatial Models.” 2011. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:9761cd4b-d17b-4242-be3f-98e5c61c16e5.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lopes, Brian J. “A Ridge Restricted Maximum Likelihood Approach to Spatial Models.” 2011. Web. 04 Dec 2020.

Vancouver:

Lopes BJ. A Ridge Restricted Maximum Likelihood Approach to Spatial Models. [Internet] [Thesis]. University of North Carolina; 2011. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:9761cd4b-d17b-4242-be3f-98e5c61c16e5.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lopes BJ. A Ridge Restricted Maximum Likelihood Approach to Spatial Models. [Thesis]. University of North Carolina; 2011. Available from: https://cdr.lib.unc.edu/record/uuid:9761cd4b-d17b-4242-be3f-98e5c61c16e5

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

16. Singh, Sudhanshu Shekhar. Projection based algorithms for variational inequalities.

Degree: Statistics and Operations Research, 2012, University of North Carolina

 This dissertation is about the theory and iterative algorithms for solving variational inequalities. Chapter 1 introduces the problem, various situations in which variational inequalities arise… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA (6th Edition):

Singh, S. S. (2012). Projection based algorithms for variational inequalities. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:778ca632-74ca-4858-8c3c-6dcfc7e6e703

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Singh, Sudhanshu Shekhar. “Projection based algorithms for variational inequalities.” 2012. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:778ca632-74ca-4858-8c3c-6dcfc7e6e703.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Singh, Sudhanshu Shekhar. “Projection based algorithms for variational inequalities.” 2012. Web. 04 Dec 2020.

Vancouver:

Singh SS. Projection based algorithms for variational inequalities. [Internet] [Thesis]. University of North Carolina; 2012. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:778ca632-74ca-4858-8c3c-6dcfc7e6e703.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Singh SS. Projection based algorithms for variational inequalities. [Thesis]. University of North Carolina; 2012. Available from: https://cdr.lib.unc.edu/record/uuid:778ca632-74ca-4858-8c3c-6dcfc7e6e703

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

17. Erhardt, Robert J. Approximate Bayesian Computing for Spatial Extremes.

Degree: Statistics and Operations Research, 2012, University of North Carolina

 Statistical analysis of max-stable processes used to model spatial extremes has been limited by the difficulty in calculating the joint likelihood function. This precludes all… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA (6th Edition):

Erhardt, R. J. (2012). Approximate Bayesian Computing for Spatial Extremes. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:84fb5887-4ec3-4119-9c9f-91cf39d358a6

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Erhardt, Robert J. “Approximate Bayesian Computing for Spatial Extremes.” 2012. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:84fb5887-4ec3-4119-9c9f-91cf39d358a6.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Erhardt, Robert J. “Approximate Bayesian Computing for Spatial Extremes.” 2012. Web. 04 Dec 2020.

Vancouver:

Erhardt RJ. Approximate Bayesian Computing for Spatial Extremes. [Internet] [Thesis]. University of North Carolina; 2012. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:84fb5887-4ec3-4119-9c9f-91cf39d358a6.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Erhardt RJ. Approximate Bayesian Computing for Spatial Extremes. [Thesis]. University of North Carolina; 2012. Available from: https://cdr.lib.unc.edu/record/uuid:84fb5887-4ec3-4119-9c9f-91cf39d358a6

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

18. Ye, Han. Data-driven Service Operations Management.

Degree: Statistics and Operations Research, 2014, University of North Carolina

 This dissertation concerns data driven service operations management and includes three projects. An important aim of this work is to integrate the use of rigorous… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ye, H. (2014). Data-driven Service Operations Management. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:bfc01ab4-2d2b-4564-9718-f6bbc3a82324

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ye, Han. “Data-driven Service Operations Management.” 2014. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:bfc01ab4-2d2b-4564-9718-f6bbc3a82324.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ye, Han. “Data-driven Service Operations Management.” 2014. Web. 04 Dec 2020.

Vancouver:

Ye H. Data-driven Service Operations Management. [Internet] [Thesis]. University of North Carolina; 2014. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:bfc01ab4-2d2b-4564-9718-f6bbc3a82324.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ye H. Data-driven Service Operations Management. [Thesis]. University of North Carolina; 2014. Available from: https://cdr.lib.unc.edu/record/uuid:bfc01ab4-2d2b-4564-9718-f6bbc3a82324

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

19. Lee, Nelson. Design and Control of Service Centers.

Degree: Statistics and Operations Research, 2013, University of North Carolina

 A service center is a facility with multiple heterogeneous servers providing specialized service to multiple types of customers. Design and control problems of service centers… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA (6th Edition):

Lee, N. (2013). Design and Control of Service Centers. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:4ac4e422-81b6-4394-b3c8-a0f5976e9df4

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lee, Nelson. “Design and Control of Service Centers.” 2013. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:4ac4e422-81b6-4394-b3c8-a0f5976e9df4.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lee, Nelson. “Design and Control of Service Centers.” 2013. Web. 04 Dec 2020.

Vancouver:

Lee N. Design and Control of Service Centers. [Internet] [Thesis]. University of North Carolina; 2013. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:4ac4e422-81b6-4394-b3c8-a0f5976e9df4.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lee N. Design and Control of Service Centers. [Thesis]. University of North Carolina; 2013. Available from: https://cdr.lib.unc.edu/record/uuid:4ac4e422-81b6-4394-b3c8-a0f5976e9df4

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

20. Liu, Lan. Causal Inference with Interference.

Degree: Statistics and Operations Research, 2013, University of North Carolina

 Recently, increasing attention has focused on making causal inference when interference is possible, i.e., when the potential outcomes of one individual may be affected by… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA (6th Edition):

Liu, L. (2013). Causal Inference with Interference. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:825062ed-5ef9-4201-9fbc-81885b0edb0d

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liu, Lan. “Causal Inference with Interference.” 2013. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:825062ed-5ef9-4201-9fbc-81885b0edb0d.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liu, Lan. “Causal Inference with Interference.” 2013. Web. 04 Dec 2020.

Vancouver:

Liu L. Causal Inference with Interference. [Internet] [Thesis]. University of North Carolina; 2013. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:825062ed-5ef9-4201-9fbc-81885b0edb0d.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu L. Causal Inference with Interference. [Thesis]. University of North Carolina; 2013. Available from: https://cdr.lib.unc.edu/record/uuid:825062ed-5ef9-4201-9fbc-81885b0edb0d

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

21. Qiao, Xingye. Weighted Distance Weighted Discrimination and Pairwise Variable Selection for Classification.

Degree: Statistics and Operations Research, 2010, University of North Carolina

 Statistical machine learning has attracted a lot of attention in recent years due to its broad applications in various fields. The driving statistical problem that… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Qiao, X. (2010). Weighted Distance Weighted Discrimination and Pairwise Variable Selection for Classification. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:09e6b1b2-83f0-4fd0-83a9-b7547c4acdfb

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Qiao, Xingye. “Weighted Distance Weighted Discrimination and Pairwise Variable Selection for Classification.” 2010. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:09e6b1b2-83f0-4fd0-83a9-b7547c4acdfb.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Qiao, Xingye. “Weighted Distance Weighted Discrimination and Pairwise Variable Selection for Classification.” 2010. Web. 04 Dec 2020.

Vancouver:

Qiao X. Weighted Distance Weighted Discrimination and Pairwise Variable Selection for Classification. [Internet] [Thesis]. University of North Carolina; 2010. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:09e6b1b2-83f0-4fd0-83a9-b7547c4acdfb.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Qiao X. Weighted Distance Weighted Discrimination and Pairwise Variable Selection for Classification. [Thesis]. University of North Carolina; 2010. Available from: https://cdr.lib.unc.edu/record/uuid:09e6b1b2-83f0-4fd0-83a9-b7547c4acdfb

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

22. Reinhold, Dominik. Asymptotic Behavior of Near Critical Branching Processes and Modeling of Cell Growth Data.

Degree: Statistics and Operations Research, 2011, University of North Carolina

 This dissertation is composed of two parts, a theoretical part, in which certain asymptotic properties of near critical branching processes are studied, and an applied… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA (6th Edition):

Reinhold, D. (2011). Asymptotic Behavior of Near Critical Branching Processes and Modeling of Cell Growth Data. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:d032d0d0-8084-4791-b0a9-7c4382cbfd0d

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Reinhold, Dominik. “Asymptotic Behavior of Near Critical Branching Processes and Modeling of Cell Growth Data.” 2011. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:d032d0d0-8084-4791-b0a9-7c4382cbfd0d.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Reinhold, Dominik. “Asymptotic Behavior of Near Critical Branching Processes and Modeling of Cell Growth Data.” 2011. Web. 04 Dec 2020.

Vancouver:

Reinhold D. Asymptotic Behavior of Near Critical Branching Processes and Modeling of Cell Growth Data. [Internet] [Thesis]. University of North Carolina; 2011. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:d032d0d0-8084-4791-b0a9-7c4382cbfd0d.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Reinhold D. Asymptotic Behavior of Near Critical Branching Processes and Modeling of Cell Growth Data. [Thesis]. University of North Carolina; 2011. Available from: https://cdr.lib.unc.edu/record/uuid:d032d0d0-8084-4791-b0a9-7c4382cbfd0d

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

23. Cao, Hongyuan. High Dimensional Statistical Testing With Applications to Gene Significance Detection.

Degree: Statistics and Operations Research, 2010, University of North Carolina

 High-throughput screening has become an important mainstay for contemporary biomedical research. A standard approach is to use a large number of t-tests simultaneously and then… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA (6th Edition):

Cao, H. (2010). High Dimensional Statistical Testing With Applications to Gene Significance Detection. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:d70499ca-2b9f-484d-b07e-b3199770455e

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Cao, Hongyuan. “High Dimensional Statistical Testing With Applications to Gene Significance Detection.” 2010. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:d70499ca-2b9f-484d-b07e-b3199770455e.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Cao, Hongyuan. “High Dimensional Statistical Testing With Applications to Gene Significance Detection.” 2010. Web. 04 Dec 2020.

Vancouver:

Cao H. High Dimensional Statistical Testing With Applications to Gene Significance Detection. [Internet] [Thesis]. University of North Carolina; 2010. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:d70499ca-2b9f-484d-b07e-b3199770455e.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cao H. High Dimensional Statistical Testing With Applications to Gene Significance Detection. [Thesis]. University of North Carolina; 2010. Available from: https://cdr.lib.unc.edu/record/uuid:d70499ca-2b9f-484d-b07e-b3199770455e

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

24. Jung, Sungkyu. Asymptotics for High Dimension, Low Sample Size data and Analysis of Data on Manifolds.

Degree: Statistics and Operations Research, 2011, University of North Carolina

 The dissertation consists of two research topics regarding modern non-standard data analytic situations. In particular, data under the High Dimension, Low Sample Size (HDLSS) situation… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA (6th Edition):

Jung, S. (2011). Asymptotics for High Dimension, Low Sample Size data and Analysis of Data on Manifolds. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:f7df4736-78b1-46d7-a079-0dc89df3c39f

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jung, Sungkyu. “Asymptotics for High Dimension, Low Sample Size data and Analysis of Data on Manifolds.” 2011. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:f7df4736-78b1-46d7-a079-0dc89df3c39f.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jung, Sungkyu. “Asymptotics for High Dimension, Low Sample Size data and Analysis of Data on Manifolds.” 2011. Web. 04 Dec 2020.

Vancouver:

Jung S. Asymptotics for High Dimension, Low Sample Size data and Analysis of Data on Manifolds. [Internet] [Thesis]. University of North Carolina; 2011. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:f7df4736-78b1-46d7-a079-0dc89df3c39f.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jung S. Asymptotics for High Dimension, Low Sample Size data and Analysis of Data on Manifolds. [Thesis]. University of North Carolina; 2011. Available from: https://cdr.lib.unc.edu/record/uuid:f7df4736-78b1-46d7-a079-0dc89df3c39f

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

25. Shen, Dan. Sparse PCA Asymptotics and Analysis of Tree Data.

Degree: Statistics and Operations Research, 2012, University of North Carolina

 This research covers two major areas. The first one is asymptotic properties of Principal Component Analysis (PCA) and sparse PCA. The second one is the… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA (6th Edition):

Shen, D. (2012). Sparse PCA Asymptotics and Analysis of Tree Data. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:56b44721-60b4-4277-a795-19bf120d2a81

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shen, Dan. “Sparse PCA Asymptotics and Analysis of Tree Data.” 2012. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:56b44721-60b4-4277-a795-19bf120d2a81.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shen, Dan. “Sparse PCA Asymptotics and Analysis of Tree Data.” 2012. Web. 04 Dec 2020.

Vancouver:

Shen D. Sparse PCA Asymptotics and Analysis of Tree Data. [Internet] [Thesis]. University of North Carolina; 2012. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:56b44721-60b4-4277-a795-19bf120d2a81.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shen D. Sparse PCA Asymptotics and Analysis of Tree Data. [Thesis]. University of North Carolina; 2012. Available from: https://cdr.lib.unc.edu/record/uuid:56b44721-60b4-4277-a795-19bf120d2a81

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

26. Yu, Guan. Flexible Supervised Learning Techniques with Applications in Neuroscience.

Degree: Statistics and Operations Research, 2016, University of North Carolina

 Supervised learning techniques have been widely used in diverse scientific disciplines such as biology and neuroscience. Among the existing supervised learning techniques, penalized regression is… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yu, G. (2016). Flexible Supervised Learning Techniques with Applications in Neuroscience. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:6c475be3-e270-4a1b-87df-8de4368f0616

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yu, Guan. “Flexible Supervised Learning Techniques with Applications in Neuroscience.” 2016. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:6c475be3-e270-4a1b-87df-8de4368f0616.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yu, Guan. “Flexible Supervised Learning Techniques with Applications in Neuroscience.” 2016. Web. 04 Dec 2020.

Vancouver:

Yu G. Flexible Supervised Learning Techniques with Applications in Neuroscience. [Internet] [Thesis]. University of North Carolina; 2016. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:6c475be3-e270-4a1b-87df-8de4368f0616.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yu G. Flexible Supervised Learning Techniques with Applications in Neuroscience. [Thesis]. University of North Carolina; 2016. Available from: https://cdr.lib.unc.edu/record/uuid:6c475be3-e270-4a1b-87df-8de4368f0616

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

27. Zhai, Haojin. Principal Component Analysis in Phylogenetic Tree Space.

Degree: Statistics and Operations Research, 2016, University of North Carolina

 Complex data objects arise in many fields of modern science including drug discovery, psychology, dynamics of gene expression and anatomy. Object oriented data analysis describes… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhai, H. (2016). Principal Component Analysis in Phylogenetic Tree Space. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:e62b7f8f-9d9e-46d6-8ade-33f76e1dc2e2

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhai, Haojin. “Principal Component Analysis in Phylogenetic Tree Space.” 2016. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:e62b7f8f-9d9e-46d6-8ade-33f76e1dc2e2.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhai, Haojin. “Principal Component Analysis in Phylogenetic Tree Space.” 2016. Web. 04 Dec 2020.

Vancouver:

Zhai H. Principal Component Analysis in Phylogenetic Tree Space. [Internet] [Thesis]. University of North Carolina; 2016. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:e62b7f8f-9d9e-46d6-8ade-33f76e1dc2e2.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhai H. Principal Component Analysis in Phylogenetic Tree Space. [Thesis]. University of North Carolina; 2016. Available from: https://cdr.lib.unc.edu/record/uuid:e62b7f8f-9d9e-46d6-8ade-33f76e1dc2e2

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

28. Yu, Dongqing. Data-Driven Quality of Service Improvements in Hospitals.

Degree: Statistics and Operations Research, 2016, University of North Carolina

 In recent years, there has been an increasing interest in developing novel methods for effective and efficient healthcare service delivery and data analytics has widely… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yu, D. (2016). Data-Driven Quality of Service Improvements in Hospitals. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:e67d29d0-350c-4917-98eb-30eb51fbc2d0

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yu, Dongqing. “Data-Driven Quality of Service Improvements in Hospitals.” 2016. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:e67d29d0-350c-4917-98eb-30eb51fbc2d0.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yu, Dongqing. “Data-Driven Quality of Service Improvements in Hospitals.” 2016. Web. 04 Dec 2020.

Vancouver:

Yu D. Data-Driven Quality of Service Improvements in Hospitals. [Internet] [Thesis]. University of North Carolina; 2016. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:e67d29d0-350c-4917-98eb-30eb51fbc2d0.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yu D. Data-Driven Quality of Service Improvements in Hospitals. [Thesis]. University of North Carolina; 2016. Available from: https://cdr.lib.unc.edu/record/uuid:e67d29d0-350c-4917-98eb-30eb51fbc2d0

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

29. Lee, Eunjee. Advanced Bayesian Models for High-Dimensional Biomedical Data.

Degree: Statistics and Operations Research, 2016, University of North Carolina

 Alzheimer’s Disease (AD) is a neurodegenerative and firmly incurable disease, and the total number of AD patients is predicted to be 13.8 million by 2050.… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lee, E. (2016). Advanced Bayesian Models for High-Dimensional Biomedical Data. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:399f56fe-1263-4305-a2de-544cae760111

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lee, Eunjee. “Advanced Bayesian Models for High-Dimensional Biomedical Data.” 2016. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:399f56fe-1263-4305-a2de-544cae760111.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lee, Eunjee. “Advanced Bayesian Models for High-Dimensional Biomedical Data.” 2016. Web. 04 Dec 2020.

Vancouver:

Lee E. Advanced Bayesian Models for High-Dimensional Biomedical Data. [Internet] [Thesis]. University of North Carolina; 2016. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:399f56fe-1263-4305-a2de-544cae760111.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lee E. Advanced Bayesian Models for High-Dimensional Biomedical Data. [Thesis]. University of North Carolina; 2016. Available from: https://cdr.lib.unc.edu/record/uuid:399f56fe-1263-4305-a2de-544cae760111

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

30. Palowitch, John. Testing-Based Community Detection Methods for Complex Networks.

Degree: Statistics and Operations Research, 2017, University of North Carolina

 Community detection is an exploratory method of grouping strongly connected nodes in a network, in most cases using only the network edge structure as a… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Palowitch, J. (2017). Testing-Based Community Detection Methods for Complex Networks. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:fc817cb7-563c-4a74-9a40-ec7308cc6950

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Palowitch, John. “Testing-Based Community Detection Methods for Complex Networks.” 2017. Thesis, University of North Carolina. Accessed December 04, 2020. https://cdr.lib.unc.edu/record/uuid:fc817cb7-563c-4a74-9a40-ec7308cc6950.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Palowitch, John. “Testing-Based Community Detection Methods for Complex Networks.” 2017. Web. 04 Dec 2020.

Vancouver:

Palowitch J. Testing-Based Community Detection Methods for Complex Networks. [Internet] [Thesis]. University of North Carolina; 2017. [cited 2020 Dec 04]. Available from: https://cdr.lib.unc.edu/record/uuid:fc817cb7-563c-4a74-9a40-ec7308cc6950.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Palowitch J. Testing-Based Community Detection Methods for Complex Networks. [Thesis]. University of North Carolina; 2017. Available from: https://cdr.lib.unc.edu/record/uuid:fc817cb7-563c-4a74-9a40-ec7308cc6950

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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