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You searched for subject:(Statistics AND Probability). Showing records 1 – 30 of 2641 total matches.

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University of Limerick

1. Murphy, Conor. An investigation into the teaching and learning of probability at senior cycle.

Degree: 2011, University of Limerick

peer-reviewed

In Ireland at present, the National Council for Curriculum and Assessment is comprehensively overhauling the Second Level Mathematics curriculum. This reformed curriculum is known… (more)

Subjects/Keywords: probability; probability and statistics

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APA (6th Edition):

Murphy, C. (2011). An investigation into the teaching and learning of probability at senior cycle. (Thesis). University of Limerick. Retrieved from http://hdl.handle.net/10344/2025

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):

Murphy, Conor. “An investigation into the teaching and learning of probability at senior cycle.” 2011. Thesis, University of Limerick. Accessed September 23, 2020. http://hdl.handle.net/10344/2025.

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

MLA Handbook (7th Edition):

Murphy, Conor. “An investigation into the teaching and learning of probability at senior cycle.” 2011. Web. 23 Sep 2020.

Vancouver:

Murphy C. An investigation into the teaching and learning of probability at senior cycle. [Internet] [Thesis]. University of Limerick; 2011. [cited 2020 Sep 23]. Available from: http://hdl.handle.net/10344/2025.

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

Council of Science Editors:

Murphy C. An investigation into the teaching and learning of probability at senior cycle. [Thesis]. University of Limerick; 2011. Available from: http://hdl.handle.net/10344/2025

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


McMaster University

2. Abdulkarimova, Ulviya. Frailty Models for Modelling Heterogeneity.

Degree: MSc, 2013, McMaster University

In the analysis of lifetime data, heterogeneity may be present in many situations. This heterogeneity is also referred to as frailty. Analysis that ignore… (more)

Subjects/Keywords: Statistics and Probability; Statistics and Probability

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APA (6th Edition):

Abdulkarimova, U. (2013). Frailty Models for Modelling Heterogeneity. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/12911

Chicago Manual of Style (16th Edition):

Abdulkarimova, Ulviya. “Frailty Models for Modelling Heterogeneity.” 2013. Masters Thesis, McMaster University. Accessed September 23, 2020. http://hdl.handle.net/11375/12911.

MLA Handbook (7th Edition):

Abdulkarimova, Ulviya. “Frailty Models for Modelling Heterogeneity.” 2013. Web. 23 Sep 2020.

Vancouver:

Abdulkarimova U. Frailty Models for Modelling Heterogeneity. [Internet] [Masters thesis]. McMaster University; 2013. [cited 2020 Sep 23]. Available from: http://hdl.handle.net/11375/12911.

Council of Science Editors:

Abdulkarimova U. Frailty Models for Modelling Heterogeneity. [Masters Thesis]. McMaster University; 2013. Available from: http://hdl.handle.net/11375/12911


McMaster University

3. Ahsan, Zahra. A Simulation Study to Examine a New Method of Sampling When Information on the Target Population Is Very Limited.

Degree: MSc, 2011, McMaster University

A new sampling method was developed for use in areas where standard methods for sampling from a population may be difficult or impossible to… (more)

Subjects/Keywords: Statistics and Probability; Statistics and Probability

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APA (6th Edition):

Ahsan, Z. (2011). A Simulation Study to Examine a New Method of Sampling When Information on the Target Population Is Very Limited. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/9915

Chicago Manual of Style (16th Edition):

Ahsan, Zahra. “A Simulation Study to Examine a New Method of Sampling When Information on the Target Population Is Very Limited.” 2011. Masters Thesis, McMaster University. Accessed September 23, 2020. http://hdl.handle.net/11375/9915.

MLA Handbook (7th Edition):

Ahsan, Zahra. “A Simulation Study to Examine a New Method of Sampling When Information on the Target Population Is Very Limited.” 2011. Web. 23 Sep 2020.

Vancouver:

Ahsan Z. A Simulation Study to Examine a New Method of Sampling When Information on the Target Population Is Very Limited. [Internet] [Masters thesis]. McMaster University; 2011. [cited 2020 Sep 23]. Available from: http://hdl.handle.net/11375/9915.

Council of Science Editors:

Ahsan Z. A Simulation Study to Examine a New Method of Sampling When Information on the Target Population Is Very Limited. [Masters Thesis]. McMaster University; 2011. Available from: http://hdl.handle.net/11375/9915


McMaster University

4. Wong, Hoi Suen. Analyzing Health Utility Data with Generalized Additive Models.

Degree: MSc, 2011, McMaster University

The money put into health care has been increasing dramatically. Comparison of different programs is important in helping government to make decision as to… (more)

Subjects/Keywords: Statistics and Probability; Statistics and Probability

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APA (6th Edition):

Wong, H. S. (2011). Analyzing Health Utility Data with Generalized Additive Models. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/9916

Chicago Manual of Style (16th Edition):

Wong, Hoi Suen. “Analyzing Health Utility Data with Generalized Additive Models.” 2011. Masters Thesis, McMaster University. Accessed September 23, 2020. http://hdl.handle.net/11375/9916.

MLA Handbook (7th Edition):

Wong, Hoi Suen. “Analyzing Health Utility Data with Generalized Additive Models.” 2011. Web. 23 Sep 2020.

Vancouver:

Wong HS. Analyzing Health Utility Data with Generalized Additive Models. [Internet] [Masters thesis]. McMaster University; 2011. [cited 2020 Sep 23]. Available from: http://hdl.handle.net/11375/9916.

Council of Science Editors:

Wong HS. Analyzing Health Utility Data with Generalized Additive Models. [Masters Thesis]. McMaster University; 2011. Available from: http://hdl.handle.net/11375/9916


McMaster University

5. Liu, Jennifer. Statistical Issues in a Meta-analysis of Studies of Integrated Treatment Programs for Women with Substance Use Problems and Their Children.

Degree: MS, 2011, McMaster University

  Meta-analysis is a statistical technique for combining findings from independent studies. A meta-analysis was performed to evaluate the effectiveness of integrated treatment programs for… (more)

Subjects/Keywords: Statistics and Probability; Statistics and Probability

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APA (6th Edition):

Liu, J. (2011). Statistical Issues in a Meta-analysis of Studies of Integrated Treatment Programs for Women with Substance Use Problems and Their Children. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/8959

Chicago Manual of Style (16th Edition):

Liu, Jennifer. “Statistical Issues in a Meta-analysis of Studies of Integrated Treatment Programs for Women with Substance Use Problems and Their Children.” 2011. Masters Thesis, McMaster University. Accessed September 23, 2020. http://hdl.handle.net/11375/8959.

MLA Handbook (7th Edition):

Liu, Jennifer. “Statistical Issues in a Meta-analysis of Studies of Integrated Treatment Programs for Women with Substance Use Problems and Their Children.” 2011. Web. 23 Sep 2020.

Vancouver:

Liu J. Statistical Issues in a Meta-analysis of Studies of Integrated Treatment Programs for Women with Substance Use Problems and Their Children. [Internet] [Masters thesis]. McMaster University; 2011. [cited 2020 Sep 23]. Available from: http://hdl.handle.net/11375/8959.

Council of Science Editors:

Liu J. Statistical Issues in a Meta-analysis of Studies of Integrated Treatment Programs for Women with Substance Use Problems and Their Children. [Masters Thesis]. McMaster University; 2011. Available from: http://hdl.handle.net/11375/8959


McMaster University

6. Qin, Maochang. Variable Selection Methods for Population-based Genetic Association Studies: SPLS and HSIC.

Degree: MS, 2011, McMaster University

This project aims to identify the single nucleotide polymorphisms(SNPs), which are associated with the muscle size and strength in Caucasian. Two methods sparse partial… (more)

Subjects/Keywords: Statistics and Probability; Statistics and Probability

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APA (6th Edition):

Qin, M. (2011). Variable Selection Methods for Population-based Genetic Association Studies: SPLS and HSIC. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/9165

Chicago Manual of Style (16th Edition):

Qin, Maochang. “Variable Selection Methods for Population-based Genetic Association Studies: SPLS and HSIC.” 2011. Masters Thesis, McMaster University. Accessed September 23, 2020. http://hdl.handle.net/11375/9165.

MLA Handbook (7th Edition):

Qin, Maochang. “Variable Selection Methods for Population-based Genetic Association Studies: SPLS and HSIC.” 2011. Web. 23 Sep 2020.

Vancouver:

Qin M. Variable Selection Methods for Population-based Genetic Association Studies: SPLS and HSIC. [Internet] [Masters thesis]. McMaster University; 2011. [cited 2020 Sep 23]. Available from: http://hdl.handle.net/11375/9165.

Council of Science Editors:

Qin M. Variable Selection Methods for Population-based Genetic Association Studies: SPLS and HSIC. [Masters Thesis]. McMaster University; 2011. Available from: http://hdl.handle.net/11375/9165


Iowa State University

7. Li, Jing. Biclustering methods and a Bayesian approach to fitting Boltzmann machines in statistical learning.

Degree: 2014, Iowa State University

 This disertation focuses on two topics in Statistical Learning. One is biclustering, and the other is deep learning. The whole dissertation has three chapters, where… (more)

Subjects/Keywords: Statistics; Statistics and Probability

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APA (6th Edition):

Li, J. (2014). Biclustering methods and a Bayesian approach to fitting Boltzmann machines in statistical learning. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/14173

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):

Li, Jing. “Biclustering methods and a Bayesian approach to fitting Boltzmann machines in statistical learning.” 2014. Thesis, Iowa State University. Accessed September 23, 2020. https://lib.dr.iastate.edu/etd/14173.

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

MLA Handbook (7th Edition):

Li, Jing. “Biclustering methods and a Bayesian approach to fitting Boltzmann machines in statistical learning.” 2014. Web. 23 Sep 2020.

Vancouver:

Li J. Biclustering methods and a Bayesian approach to fitting Boltzmann machines in statistical learning. [Internet] [Thesis]. Iowa State University; 2014. [cited 2020 Sep 23]. Available from: https://lib.dr.iastate.edu/etd/14173.

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

Council of Science Editors:

Li J. Biclustering methods and a Bayesian approach to fitting Boltzmann machines in statistical learning. [Thesis]. Iowa State University; 2014. Available from: https://lib.dr.iastate.edu/etd/14173

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


Western Michigan University

8. Watcharotone, Kuanwong. On Robustification of Some Procedures Used in Analysis of Covariance.

Degree: PhD, Statistics, 2010, Western Michigan University

  This study discusses robust procedures for the analysis of covariance (ANCOVA) models. These methods are based on rank-based (R) fitting procedures, which are quite… (more)

Subjects/Keywords: Social Statistics; Statistics and Probability

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APA (6th Edition):

Watcharotone, K. (2010). On Robustification of Some Procedures Used in Analysis of Covariance. (Doctoral Dissertation). Western Michigan University. Retrieved from https://scholarworks.wmich.edu/dissertations/634

Chicago Manual of Style (16th Edition):

Watcharotone, Kuanwong. “On Robustification of Some Procedures Used in Analysis of Covariance.” 2010. Doctoral Dissertation, Western Michigan University. Accessed September 23, 2020. https://scholarworks.wmich.edu/dissertations/634.

MLA Handbook (7th Edition):

Watcharotone, Kuanwong. “On Robustification of Some Procedures Used in Analysis of Covariance.” 2010. Web. 23 Sep 2020.

Vancouver:

Watcharotone K. On Robustification of Some Procedures Used in Analysis of Covariance. [Internet] [Doctoral dissertation]. Western Michigan University; 2010. [cited 2020 Sep 23]. Available from: https://scholarworks.wmich.edu/dissertations/634.

Council of Science Editors:

Watcharotone K. On Robustification of Some Procedures Used in Analysis of Covariance. [Doctoral Dissertation]. Western Michigan University; 2010. Available from: https://scholarworks.wmich.edu/dissertations/634


Western Michigan University

9. Gugiu, Paul Cristian. Summative Confidence.

Degree: PhD, Evaluation, 2011, Western Michigan University

  Often the singular goal of an evaluation is to render a summative conclusion of merit, worth or feasibility that is based on multiple streams… (more)

Subjects/Keywords: Social Statistics; Statistics and Probability

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APA (6th Edition):

Gugiu, P. C. (2011). Summative Confidence. (Doctoral Dissertation). Western Michigan University. Retrieved from https://scholarworks.wmich.edu/dissertations/413

Chicago Manual of Style (16th Edition):

Gugiu, Paul Cristian. “Summative Confidence.” 2011. Doctoral Dissertation, Western Michigan University. Accessed September 23, 2020. https://scholarworks.wmich.edu/dissertations/413.

MLA Handbook (7th Edition):

Gugiu, Paul Cristian. “Summative Confidence.” 2011. Web. 23 Sep 2020.

Vancouver:

Gugiu PC. Summative Confidence. [Internet] [Doctoral dissertation]. Western Michigan University; 2011. [cited 2020 Sep 23]. Available from: https://scholarworks.wmich.edu/dissertations/413.

Council of Science Editors:

Gugiu PC. Summative Confidence. [Doctoral Dissertation]. Western Michigan University; 2011. Available from: https://scholarworks.wmich.edu/dissertations/413


Purdue University

10. Choi, InKyung. Modeling spatial covariance functions.

Degree: PhD, Statistics, 2014, Purdue University

  Covariance modeling plays a key role in the spatial data analysis as it provides important information about the dependence structure of underlying processes and… (more)

Subjects/Keywords: Applied Statistics; Statistics and Probability

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APA (6th Edition):

Choi, I. (2014). Modeling spatial covariance functions. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/246

Chicago Manual of Style (16th Edition):

Choi, InKyung. “Modeling spatial covariance functions.” 2014. Doctoral Dissertation, Purdue University. Accessed September 23, 2020. https://docs.lib.purdue.edu/open_access_dissertations/246.

MLA Handbook (7th Edition):

Choi, InKyung. “Modeling spatial covariance functions.” 2014. Web. 23 Sep 2020.

Vancouver:

Choi I. Modeling spatial covariance functions. [Internet] [Doctoral dissertation]. Purdue University; 2014. [cited 2020 Sep 23]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/246.

Council of Science Editors:

Choi I. Modeling spatial covariance functions. [Doctoral Dissertation]. Purdue University; 2014. Available from: https://docs.lib.purdue.edu/open_access_dissertations/246


Iowa State University

11. Osthus, David Allen. Applications of and extensions to state-space models.

Degree: 2015, Iowa State University

 State-space models have proven invaluable in the analysis of dynamic data, specifically time series data. They provide a natural and interpretable framework to learn about… (more)

Subjects/Keywords: Statistics; Statistics and Probability

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APA (6th Edition):

Osthus, D. A. (2015). Applications of and extensions to state-space models. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/14623

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):

Osthus, David Allen. “Applications of and extensions to state-space models.” 2015. Thesis, Iowa State University. Accessed September 23, 2020. https://lib.dr.iastate.edu/etd/14623.

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

MLA Handbook (7th Edition):

Osthus, David Allen. “Applications of and extensions to state-space models.” 2015. Web. 23 Sep 2020.

Vancouver:

Osthus DA. Applications of and extensions to state-space models. [Internet] [Thesis]. Iowa State University; 2015. [cited 2020 Sep 23]. Available from: https://lib.dr.iastate.edu/etd/14623.

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

Council of Science Editors:

Osthus DA. Applications of and extensions to state-space models. [Thesis]. Iowa State University; 2015. Available from: https://lib.dr.iastate.edu/etd/14623

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


Iowa State University

12. Erciulescu, Andreea Luisa. Small area prediction based on unit level models when the covariate mean is measured with error.

Degree: 2015, Iowa State University

 Agencies and policy makers are interested in constructing reliable estimates for areas with small sample sizes, where areas often refer to geographic areas and demographic… (more)

Subjects/Keywords: Statistics; Statistics and Probability

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APA (6th Edition):

Erciulescu, A. L. (2015). Small area prediction based on unit level models when the covariate mean is measured with error. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/14674

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):

Erciulescu, Andreea Luisa. “Small area prediction based on unit level models when the covariate mean is measured with error.” 2015. Thesis, Iowa State University. Accessed September 23, 2020. https://lib.dr.iastate.edu/etd/14674.

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

MLA Handbook (7th Edition):

Erciulescu, Andreea Luisa. “Small area prediction based on unit level models when the covariate mean is measured with error.” 2015. Web. 23 Sep 2020.

Vancouver:

Erciulescu AL. Small area prediction based on unit level models when the covariate mean is measured with error. [Internet] [Thesis]. Iowa State University; 2015. [cited 2020 Sep 23]. Available from: https://lib.dr.iastate.edu/etd/14674.

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

Council of Science Editors:

Erciulescu AL. Small area prediction based on unit level models when the covariate mean is measured with error. [Thesis]. Iowa State University; 2015. Available from: https://lib.dr.iastate.edu/etd/14674

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


Iowa State University

13. Reiners, Jostein. Computer model optimization within hidden constraints.

Degree: 2015, Iowa State University

Computer models are commonly used for studying complex physical systems. Under certain conditions, hidden constraints may cause unexpected computer model failure. This research presents a novel approach involving Gaussian stochastic process models to accomplish computer model optimization in the presence of hidden constraints.

Subjects/Keywords: Statistics; Statistics and Probability

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APA (6th Edition):

Reiners, J. (2015). Computer model optimization within hidden constraints. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/14958

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):

Reiners, Jostein. “Computer model optimization within hidden constraints.” 2015. Thesis, Iowa State University. Accessed September 23, 2020. https://lib.dr.iastate.edu/etd/14958.

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

MLA Handbook (7th Edition):

Reiners, Jostein. “Computer model optimization within hidden constraints.” 2015. Web. 23 Sep 2020.

Vancouver:

Reiners J. Computer model optimization within hidden constraints. [Internet] [Thesis]. Iowa State University; 2015. [cited 2020 Sep 23]. Available from: https://lib.dr.iastate.edu/etd/14958.

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

Council of Science Editors:

Reiners J. Computer model optimization within hidden constraints. [Thesis]. Iowa State University; 2015. Available from: https://lib.dr.iastate.edu/etd/14958

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


Iowa State University

14. Liu, Fangfang. Statistical methods in detecting differential expressed genes, analyzing insertion tolerance for genes and group selection for survival data.

Degree: 2015, Iowa State University

 The thesis is composed of three independent projects: (i) analyzing transposon-sequencing data to infer functions of genes on bacteria growth (chapter 2), (ii) developing semi-parametric… (more)

Subjects/Keywords: Statistics; Statistics and Probability

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APA (6th Edition):

Liu, F. (2015). Statistical methods in detecting differential expressed genes, analyzing insertion tolerance for genes and group selection for survival data. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/14514

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, Fangfang. “Statistical methods in detecting differential expressed genes, analyzing insertion tolerance for genes and group selection for survival data.” 2015. Thesis, Iowa State University. Accessed September 23, 2020. https://lib.dr.iastate.edu/etd/14514.

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

MLA Handbook (7th Edition):

Liu, Fangfang. “Statistical methods in detecting differential expressed genes, analyzing insertion tolerance for genes and group selection for survival data.” 2015. Web. 23 Sep 2020.

Vancouver:

Liu F. Statistical methods in detecting differential expressed genes, analyzing insertion tolerance for genes and group selection for survival data. [Internet] [Thesis]. Iowa State University; 2015. [cited 2020 Sep 23]. Available from: https://lib.dr.iastate.edu/etd/14514.

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

Council of Science Editors:

Liu F. Statistical methods in detecting differential expressed genes, analyzing insertion tolerance for genes and group selection for survival data. [Thesis]. Iowa State University; 2015. Available from: https://lib.dr.iastate.edu/etd/14514

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


Carnegie Mellon University

15. Galyardt, April. Mixed Membership Distributions with Applications to Modeling Multiple Strategy Usage.

Degree: 2012, Carnegie Mellon University

 This dissertation examines two related questions. How do mixed membership models work? and Can mixed membership be used to model how students use multiple strategies… (more)

Subjects/Keywords: Statistics and Probability

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APA (6th Edition):

Galyardt, A. (2012). Mixed Membership Distributions with Applications to Modeling Multiple Strategy Usage. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/219

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):

Galyardt, April. “Mixed Membership Distributions with Applications to Modeling Multiple Strategy Usage.” 2012. Thesis, Carnegie Mellon University. Accessed September 23, 2020. http://repository.cmu.edu/dissertations/219.

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

MLA Handbook (7th Edition):

Galyardt, April. “Mixed Membership Distributions with Applications to Modeling Multiple Strategy Usage.” 2012. Web. 23 Sep 2020.

Vancouver:

Galyardt A. Mixed Membership Distributions with Applications to Modeling Multiple Strategy Usage. [Internet] [Thesis]. Carnegie Mellon University; 2012. [cited 2020 Sep 23]. Available from: http://repository.cmu.edu/dissertations/219.

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

Council of Science Editors:

Galyardt A. Mixed Membership Distributions with Applications to Modeling Multiple Strategy Usage. [Thesis]. Carnegie Mellon University; 2012. Available from: http://repository.cmu.edu/dissertations/219

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


Carnegie Mellon University

16. Weaver, Rhiannon. Behavioral Modeling of Botnet Populations Viewed through Internet Protocol Address Space.

Degree: 2012, Carnegie Mellon University

 A botnet is a collection of computers infected by a shared set of malicious software, that maintain communications to a single human administrator or small… (more)

Subjects/Keywords: Statistics and Probability

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APA (6th Edition):

Weaver, R. (2012). Behavioral Modeling of Botnet Populations Viewed through Internet Protocol Address Space. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/152

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):

Weaver, Rhiannon. “Behavioral Modeling of Botnet Populations Viewed through Internet Protocol Address Space.” 2012. Thesis, Carnegie Mellon University. Accessed September 23, 2020. http://repository.cmu.edu/dissertations/152.

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

MLA Handbook (7th Edition):

Weaver, Rhiannon. “Behavioral Modeling of Botnet Populations Viewed through Internet Protocol Address Space.” 2012. Web. 23 Sep 2020.

Vancouver:

Weaver R. Behavioral Modeling of Botnet Populations Viewed through Internet Protocol Address Space. [Internet] [Thesis]. Carnegie Mellon University; 2012. [cited 2020 Sep 23]. Available from: http://repository.cmu.edu/dissertations/152.

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

Council of Science Editors:

Weaver R. Behavioral Modeling of Botnet Populations Viewed through Internet Protocol Address Space. [Thesis]. Carnegie Mellon University; 2012. Available from: http://repository.cmu.edu/dissertations/152

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


Carnegie Mellon University

17. Okamura, Shuhei. The Short Time Fourier Transform and Local Signals.

Degree: 2011, Carnegie Mellon University

 In this thesis, I examine the theoretical properties of the short time discrete Fourier transform (STFT). The STFT is obtained by applying the Fourier transform… (more)

Subjects/Keywords: Statistics and Probability

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

APA (6th Edition):

Okamura, S. (2011). The Short Time Fourier Transform and Local Signals. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/58

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):

Okamura, Shuhei. “The Short Time Fourier Transform and Local Signals.” 2011. Thesis, Carnegie Mellon University. Accessed September 23, 2020. http://repository.cmu.edu/dissertations/58.

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

MLA Handbook (7th Edition):

Okamura, Shuhei. “The Short Time Fourier Transform and Local Signals.” 2011. Web. 23 Sep 2020.

Vancouver:

Okamura S. The Short Time Fourier Transform and Local Signals. [Internet] [Thesis]. Carnegie Mellon University; 2011. [cited 2020 Sep 23]. Available from: http://repository.cmu.edu/dissertations/58.

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

Council of Science Editors:

Okamura S. The Short Time Fourier Transform and Local Signals. [Thesis]. Carnegie Mellon University; 2011. Available from: http://repository.cmu.edu/dissertations/58

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


Carnegie Mellon University

18. Buchman, Susan. High-Dimensional Adaptive Basis Density Estimation.

Degree: 2011, Carnegie Mellon University

 In the realm of high-dimensional statistics, regression and classification have received much attention, while density estimation has lagged behind. Yet there are compelling scientific questions… (more)

Subjects/Keywords: Statistics and Probability

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APA (6th Edition):

Buchman, S. (2011). High-Dimensional Adaptive Basis Density Estimation. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/169

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):

Buchman, Susan. “High-Dimensional Adaptive Basis Density Estimation.” 2011. Thesis, Carnegie Mellon University. Accessed September 23, 2020. http://repository.cmu.edu/dissertations/169.

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

MLA Handbook (7th Edition):

Buchman, Susan. “High-Dimensional Adaptive Basis Density Estimation.” 2011. Web. 23 Sep 2020.

Vancouver:

Buchman S. High-Dimensional Adaptive Basis Density Estimation. [Internet] [Thesis]. Carnegie Mellon University; 2011. [cited 2020 Sep 23]. Available from: http://repository.cmu.edu/dissertations/169.

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

Council of Science Editors:

Buchman S. High-Dimensional Adaptive Basis Density Estimation. [Thesis]. Carnegie Mellon University; 2011. Available from: http://repository.cmu.edu/dissertations/169

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


Carnegie Mellon University

19. Goerg, Georg Matthias. Learning Spatio-Temporal Dynamics: Nonparametric Methods for Optimal Forecasting and Automated Pattern Discovery.

Degree: 2012, Carnegie Mellon University

 Many important scientific and data-driven problems involve quantities that vary over space and time. Examples include functional magnetic resonance imaging (fMRI), climate data, or experimental… (more)

Subjects/Keywords: Statistics and Probability

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APA (6th Edition):

Goerg, G. M. (2012). Learning Spatio-Temporal Dynamics: Nonparametric Methods for Optimal Forecasting and Automated Pattern Discovery. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/218

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):

Goerg, Georg Matthias. “Learning Spatio-Temporal Dynamics: Nonparametric Methods for Optimal Forecasting and Automated Pattern Discovery.” 2012. Thesis, Carnegie Mellon University. Accessed September 23, 2020. http://repository.cmu.edu/dissertations/218.

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

MLA Handbook (7th Edition):

Goerg, Georg Matthias. “Learning Spatio-Temporal Dynamics: Nonparametric Methods for Optimal Forecasting and Automated Pattern Discovery.” 2012. Web. 23 Sep 2020.

Vancouver:

Goerg GM. Learning Spatio-Temporal Dynamics: Nonparametric Methods for Optimal Forecasting and Automated Pattern Discovery. [Internet] [Thesis]. Carnegie Mellon University; 2012. [cited 2020 Sep 23]. Available from: http://repository.cmu.edu/dissertations/218.

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

Council of Science Editors:

Goerg GM. Learning Spatio-Temporal Dynamics: Nonparametric Methods for Optimal Forecasting and Automated Pattern Discovery. [Thesis]. Carnegie Mellon University; 2012. Available from: http://repository.cmu.edu/dissertations/218

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

20. Bares, Valerie. Identifying Predictors of Weight Loss and Drop-Out Using Joint Modeling.

Degree: PhD, Mathematics and Statistics, 2017, South Dakota State University

  Profile by Sanford is a membership based weight loss program that helps its members make lifestyle changes with diet, exercise, and one-on-one interactions with… (more)

Subjects/Keywords: Statistics and Probability

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APA (6th Edition):

Bares, V. (2017). Identifying Predictors of Weight Loss and Drop-Out Using Joint Modeling. (Doctoral Dissertation). South Dakota State University. Retrieved from http://openprairie.sdstate.edu/etd/1716

Chicago Manual of Style (16th Edition):

Bares, Valerie. “Identifying Predictors of Weight Loss and Drop-Out Using Joint Modeling.” 2017. Doctoral Dissertation, South Dakota State University. Accessed September 23, 2020. http://openprairie.sdstate.edu/etd/1716.

MLA Handbook (7th Edition):

Bares, Valerie. “Identifying Predictors of Weight Loss and Drop-Out Using Joint Modeling.” 2017. Web. 23 Sep 2020.

Vancouver:

Bares V. Identifying Predictors of Weight Loss and Drop-Out Using Joint Modeling. [Internet] [Doctoral dissertation]. South Dakota State University; 2017. [cited 2020 Sep 23]. Available from: http://openprairie.sdstate.edu/etd/1716.

Council of Science Editors:

Bares V. Identifying Predictors of Weight Loss and Drop-Out Using Joint Modeling. [Doctoral Dissertation]. South Dakota State University; 2017. Available from: http://openprairie.sdstate.edu/etd/1716


University of Pennsylvania

21. Rodu, Jordan. Spectral Estimation of Hidden Markov Models.

Degree: 2014, University of Pennsylvania

 This thesis extends and improves methods for estimating key quantities of hidden Markov models through spectral method-of-moments estimation. Unlike traditional estimation methods like EM and… (more)

Subjects/Keywords: Statistics and Probability

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APA (6th Edition):

Rodu, J. (2014). Spectral Estimation of Hidden Markov Models. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/1423

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):

Rodu, Jordan. “Spectral Estimation of Hidden Markov Models.” 2014. Thesis, University of Pennsylvania. Accessed September 23, 2020. https://repository.upenn.edu/edissertations/1423.

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

MLA Handbook (7th Edition):

Rodu, Jordan. “Spectral Estimation of Hidden Markov Models.” 2014. Web. 23 Sep 2020.

Vancouver:

Rodu J. Spectral Estimation of Hidden Markov Models. [Internet] [Thesis]. University of Pennsylvania; 2014. [cited 2020 Sep 23]. Available from: https://repository.upenn.edu/edissertations/1423.

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

Council of Science Editors:

Rodu J. Spectral Estimation of Hidden Markov Models. [Thesis]. University of Pennsylvania; 2014. Available from: https://repository.upenn.edu/edissertations/1423

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


University of Pennsylvania

22. Peng, Peichao. Essays in Problems in Sequential Decisions and Large-Scale Randomized Algorithms.

Degree: 2016, University of Pennsylvania

 In the first part of this dissertation, we consider two problems in sequential decision making. The first problem we consider is sequential selection of a… (more)

Subjects/Keywords: Statistics and Probability

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APA (6th Edition):

Peng, P. (2016). Essays in Problems in Sequential Decisions and Large-Scale Randomized Algorithms. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/1941

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):

Peng, Peichao. “Essays in Problems in Sequential Decisions and Large-Scale Randomized Algorithms.” 2016. Thesis, University of Pennsylvania. Accessed September 23, 2020. https://repository.upenn.edu/edissertations/1941.

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

MLA Handbook (7th Edition):

Peng, Peichao. “Essays in Problems in Sequential Decisions and Large-Scale Randomized Algorithms.” 2016. Web. 23 Sep 2020.

Vancouver:

Peng P. Essays in Problems in Sequential Decisions and Large-Scale Randomized Algorithms. [Internet] [Thesis]. University of Pennsylvania; 2016. [cited 2020 Sep 23]. Available from: https://repository.upenn.edu/edissertations/1941.

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

Council of Science Editors:

Peng P. Essays in Problems in Sequential Decisions and Large-Scale Randomized Algorithms. [Thesis]. University of Pennsylvania; 2016. Available from: https://repository.upenn.edu/edissertations/1941

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


University of Pennsylvania

23. Tan, Xin Lu. Topics In Multivariate Statistics.

Degree: 2017, University of Pennsylvania

 Multivariate statistics concerns the study of dependence relations among multiple variables of interest. Distinct from widely studied regression problems where one of the variables is… (more)

Subjects/Keywords: Statistics and Probability

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APA (6th Edition):

Tan, X. L. (2017). Topics In Multivariate Statistics. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/2602

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):

Tan, Xin Lu. “Topics In Multivariate Statistics.” 2017. Thesis, University of Pennsylvania. Accessed September 23, 2020. https://repository.upenn.edu/edissertations/2602.

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

MLA Handbook (7th Edition):

Tan, Xin Lu. “Topics In Multivariate Statistics.” 2017. Web. 23 Sep 2020.

Vancouver:

Tan XL. Topics In Multivariate Statistics. [Internet] [Thesis]. University of Pennsylvania; 2017. [cited 2020 Sep 23]. Available from: https://repository.upenn.edu/edissertations/2602.

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

Council of Science Editors:

Tan XL. Topics In Multivariate Statistics. [Thesis]. University of Pennsylvania; 2017. Available from: https://repository.upenn.edu/edissertations/2602

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


University of Wisconsin – Milwaukee

24. Samanthi, Ranadeera Gamage Madhuka. Comparing the Riskiness of Dependent Portfolios.

Degree: PhD, Mathematics, 2016, University of Wisconsin – Milwaukee

  A nonparametric test based on nested L-statistics and designed to compare the riskiness of portfolios was introduced by Brazauskas, Jones, Puri, and Zitikis (2007).… (more)

Subjects/Keywords: Statistics and Probability

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APA (6th Edition):

Samanthi, R. G. M. (2016). Comparing the Riskiness of Dependent Portfolios. (Doctoral Dissertation). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/1195

Chicago Manual of Style (16th Edition):

Samanthi, Ranadeera Gamage Madhuka. “Comparing the Riskiness of Dependent Portfolios.” 2016. Doctoral Dissertation, University of Wisconsin – Milwaukee. Accessed September 23, 2020. https://dc.uwm.edu/etd/1195.

MLA Handbook (7th Edition):

Samanthi, Ranadeera Gamage Madhuka. “Comparing the Riskiness of Dependent Portfolios.” 2016. Web. 23 Sep 2020.

Vancouver:

Samanthi RGM. Comparing the Riskiness of Dependent Portfolios. [Internet] [Doctoral dissertation]. University of Wisconsin – Milwaukee; 2016. [cited 2020 Sep 23]. Available from: https://dc.uwm.edu/etd/1195.

Council of Science Editors:

Samanthi RGM. Comparing the Riskiness of Dependent Portfolios. [Doctoral Dissertation]. University of Wisconsin – Milwaukee; 2016. Available from: https://dc.uwm.edu/etd/1195


Western Michigan University

25. Wisadrattanapong, Therawat. Robust Nonparametric Methods for Regression to the Mean Model.

Degree: PhD, Statistics, 2011, Western Michigan University

  Regression to the mean is a statistical phenomenon that often confounds treatment effects in experiments. Consider an experiment involving a treatment, in which a… (more)

Subjects/Keywords: Statistics and Probability

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APA (6th Edition):

Wisadrattanapong, T. (2011). Robust Nonparametric Methods for Regression to the Mean Model. (Doctoral Dissertation). Western Michigan University. Retrieved from https://scholarworks.wmich.edu/dissertations/483

Chicago Manual of Style (16th Edition):

Wisadrattanapong, Therawat. “Robust Nonparametric Methods for Regression to the Mean Model.” 2011. Doctoral Dissertation, Western Michigan University. Accessed September 23, 2020. https://scholarworks.wmich.edu/dissertations/483.

MLA Handbook (7th Edition):

Wisadrattanapong, Therawat. “Robust Nonparametric Methods for Regression to the Mean Model.” 2011. Web. 23 Sep 2020.

Vancouver:

Wisadrattanapong T. Robust Nonparametric Methods for Regression to the Mean Model. [Internet] [Doctoral dissertation]. Western Michigan University; 2011. [cited 2020 Sep 23]. Available from: https://scholarworks.wmich.edu/dissertations/483.

Council of Science Editors:

Wisadrattanapong T. Robust Nonparametric Methods for Regression to the Mean Model. [Doctoral Dissertation]. Western Michigan University; 2011. Available from: https://scholarworks.wmich.edu/dissertations/483


Western Michigan University

26. Villarente Rosales, Karen Grace. Confidence Intervals and Tests on the Difference of Means of Two Delta Distributions.

Degree: PhD, Statistics, 2010, Western Michigan University

  Various research fields produce data that are lognormally distributed and inflated with zero values. This type of data follows a delta distribution. In this… (more)

Subjects/Keywords: Statistics and Probability

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APA (6th Edition):

Villarente Rosales, K. G. (2010). Confidence Intervals and Tests on the Difference of Means of Two Delta Distributions. (Doctoral Dissertation). Western Michigan University. Retrieved from https://scholarworks.wmich.edu/dissertations/622

Chicago Manual of Style (16th Edition):

Villarente Rosales, Karen Grace. “Confidence Intervals and Tests on the Difference of Means of Two Delta Distributions.” 2010. Doctoral Dissertation, Western Michigan University. Accessed September 23, 2020. https://scholarworks.wmich.edu/dissertations/622.

MLA Handbook (7th Edition):

Villarente Rosales, Karen Grace. “Confidence Intervals and Tests on the Difference of Means of Two Delta Distributions.” 2010. Web. 23 Sep 2020.

Vancouver:

Villarente Rosales KG. Confidence Intervals and Tests on the Difference of Means of Two Delta Distributions. [Internet] [Doctoral dissertation]. Western Michigan University; 2010. [cited 2020 Sep 23]. Available from: https://scholarworks.wmich.edu/dissertations/622.

Council of Science Editors:

Villarente Rosales KG. Confidence Intervals and Tests on the Difference of Means of Two Delta Distributions. [Doctoral Dissertation]. Western Michigan University; 2010. Available from: https://scholarworks.wmich.edu/dissertations/622


Western Michigan University

27. Okyere, Gabriel Asare. Robust Adaptive Scheme for Linear Mixed Models.

Degree: PhD, Statistics, 2011, Western Michigan University

  If the underlying distribution of a statistical model is known then a procedure which maximizes power and efficiency can be selected. For example, if… (more)

Subjects/Keywords: Statistics and Probability

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APA (6th Edition):

Okyere, G. A. (2011). Robust Adaptive Scheme for Linear Mixed Models. (Doctoral Dissertation). Western Michigan University. Retrieved from https://scholarworks.wmich.edu/dissertations/445

Chicago Manual of Style (16th Edition):

Okyere, Gabriel Asare. “Robust Adaptive Scheme for Linear Mixed Models.” 2011. Doctoral Dissertation, Western Michigan University. Accessed September 23, 2020. https://scholarworks.wmich.edu/dissertations/445.

MLA Handbook (7th Edition):

Okyere, Gabriel Asare. “Robust Adaptive Scheme for Linear Mixed Models.” 2011. Web. 23 Sep 2020.

Vancouver:

Okyere GA. Robust Adaptive Scheme for Linear Mixed Models. [Internet] [Doctoral dissertation]. Western Michigan University; 2011. [cited 2020 Sep 23]. Available from: https://scholarworks.wmich.edu/dissertations/445.

Council of Science Editors:

Okyere GA. Robust Adaptive Scheme for Linear Mixed Models. [Doctoral Dissertation]. Western Michigan University; 2011. Available from: https://scholarworks.wmich.edu/dissertations/445

28. Yang, JInyu. Development of Computational Techniques for Regulatory DNA Motif Identification Based on Big Biological Data.

Degree: MS, Mathematics and Statistics, 2017, South Dakota State University

  Accurate regulatory DNA motif (or motif) identification plays a fundamental role in the elucidation of transcriptional regulatory mechanisms in a cell and can strongly… (more)

Subjects/Keywords: Statistics and Probability

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

APA (6th Edition):

Yang, J. (2017). Development of Computational Techniques for Regulatory DNA Motif Identification Based on Big Biological Data. (Masters Thesis). South Dakota State University. Retrieved from https://openprairie.sdstate.edu/etd/2155

Chicago Manual of Style (16th Edition):

Yang, JInyu. “Development of Computational Techniques for Regulatory DNA Motif Identification Based on Big Biological Data.” 2017. Masters Thesis, South Dakota State University. Accessed September 23, 2020. https://openprairie.sdstate.edu/etd/2155.

MLA Handbook (7th Edition):

Yang, JInyu. “Development of Computational Techniques for Regulatory DNA Motif Identification Based on Big Biological Data.” 2017. Web. 23 Sep 2020.

Vancouver:

Yang J. Development of Computational Techniques for Regulatory DNA Motif Identification Based on Big Biological Data. [Internet] [Masters thesis]. South Dakota State University; 2017. [cited 2020 Sep 23]. Available from: https://openprairie.sdstate.edu/etd/2155.

Council of Science Editors:

Yang J. Development of Computational Techniques for Regulatory DNA Motif Identification Based on Big Biological Data. [Masters Thesis]. South Dakota State University; 2017. Available from: https://openprairie.sdstate.edu/etd/2155


Purdue University

29. Han, Xiang. Divide and recombine: Autoregressive models and STL+.

Degree: PhD, Statistics, 2014, Purdue University

  In this thesis multiple methods are proposed and applied to the Akamai CIDR time series data. The Akamai network is one of the world's… (more)

Subjects/Keywords: Statistics and Probability

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APA (6th Edition):

Han, X. (2014). Divide and recombine: Autoregressive models and STL+. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/281

Chicago Manual of Style (16th Edition):

Han, Xiang. “Divide and recombine: Autoregressive models and STL+.” 2014. Doctoral Dissertation, Purdue University. Accessed September 23, 2020. https://docs.lib.purdue.edu/open_access_dissertations/281.

MLA Handbook (7th Edition):

Han, Xiang. “Divide and recombine: Autoregressive models and STL+.” 2014. Web. 23 Sep 2020.

Vancouver:

Han X. Divide and recombine: Autoregressive models and STL+. [Internet] [Doctoral dissertation]. Purdue University; 2014. [cited 2020 Sep 23]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/281.

Council of Science Editors:

Han X. Divide and recombine: Autoregressive models and STL+. [Doctoral Dissertation]. Purdue University; 2014. Available from: https://docs.lib.purdue.edu/open_access_dissertations/281


Purdue University

30. Huang, Yen-Ning E. Spatial marked point processes: Models and inferences.

Degree: PhD, Statistics, 2014, Purdue University

  A spatial marked point process describes the locations of randomly distributed events in a region, with a mark attached to each observed point. Nowadays,… (more)

Subjects/Keywords: Statistics and Probability

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APA (6th Edition):

Huang, Y. E. (2014). Spatial marked point processes: Models and inferences. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/291

Chicago Manual of Style (16th Edition):

Huang, Yen-Ning E. “Spatial marked point processes: Models and inferences.” 2014. Doctoral Dissertation, Purdue University. Accessed September 23, 2020. https://docs.lib.purdue.edu/open_access_dissertations/291.

MLA Handbook (7th Edition):

Huang, Yen-Ning E. “Spatial marked point processes: Models and inferences.” 2014. Web. 23 Sep 2020.

Vancouver:

Huang YE. Spatial marked point processes: Models and inferences. [Internet] [Doctoral dissertation]. Purdue University; 2014. [cited 2020 Sep 23]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/291.

Council of Science Editors:

Huang YE. Spatial marked point processes: Models and inferences. [Doctoral Dissertation]. Purdue University; 2014. Available from: https://docs.lib.purdue.edu/open_access_dissertations/291

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