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You searched for subject:(Statistics AND Probability). Showing records 1 – 30 of 2088 total matches.

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McMaster University

1. Malik, Rajat. Statistical Analysis for Pollutants in Precipitation Observed in a Selected Region.

Degree: MS, 2010, McMaster University

The study of pollution and its effects on the environment has long been an interest for many researchers. Short and long term affects as… (more)

Subjects/Keywords: Statistics; Statistics and Probability; Statistics and Probability

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APA (6th Edition):

Malik, R. (2010). Statistical Analysis for Pollutants in Precipitation Observed in a Selected Region. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/8961

Chicago Manual of Style (16th Edition):

Malik, Rajat. “Statistical Analysis for Pollutants in Precipitation Observed in a Selected Region.” 2010. Masters Thesis, McMaster University. Accessed April 19, 2019. http://hdl.handle.net/11375/8961.

MLA Handbook (7th Edition):

Malik, Rajat. “Statistical Analysis for Pollutants in Precipitation Observed in a Selected Region.” 2010. Web. 19 Apr 2019.

Vancouver:

Malik R. Statistical Analysis for Pollutants in Precipitation Observed in a Selected Region. [Internet] [Masters thesis]. McMaster University; 2010. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/11375/8961.

Council of Science Editors:

Malik R. Statistical Analysis for Pollutants in Precipitation Observed in a Selected Region. [Masters Thesis]. McMaster University; 2010. Available from: http://hdl.handle.net/11375/8961


University of Limerick

2. 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 April 19, 2019. 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. 19 Apr 2019.

Vancouver:

Murphy C. An investigation into the teaching and learning of probability at senior cycle. [Internet] [Thesis]. University of Limerick; 2011. [cited 2019 Apr 19]. 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

3. Hamid, Muhammad. COMPARISONS BETWEEN ALGORITHMS TO CONSTRUCT THE RECEIVER OPERATING CHARACTERISTIC (ROC) CURVE FOR MULTIPLE SCREENING/DIAGNOSTIC TESTS.

Degree: MS, 2010, McMaster University

Cancer can be an extremely aggressive disease, with a poor survival rate among the patients that are in the advanced stages of the disease.… (more)

Subjects/Keywords: Statistics and Probability; Statistics and Probability

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APA (6th Edition):

Hamid, M. (2010). COMPARISONS BETWEEN ALGORITHMS TO CONSTRUCT THE RECEIVER OPERATING CHARACTERISTIC (ROC) CURVE FOR MULTIPLE SCREENING/DIAGNOSTIC TESTS. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/8948

Chicago Manual of Style (16th Edition):

Hamid, Muhammad. “COMPARISONS BETWEEN ALGORITHMS TO CONSTRUCT THE RECEIVER OPERATING CHARACTERISTIC (ROC) CURVE FOR MULTIPLE SCREENING/DIAGNOSTIC TESTS.” 2010. Masters Thesis, McMaster University. Accessed April 19, 2019. http://hdl.handle.net/11375/8948.

MLA Handbook (7th Edition):

Hamid, Muhammad. “COMPARISONS BETWEEN ALGORITHMS TO CONSTRUCT THE RECEIVER OPERATING CHARACTERISTIC (ROC) CURVE FOR MULTIPLE SCREENING/DIAGNOSTIC TESTS.” 2010. Web. 19 Apr 2019.

Vancouver:

Hamid M. COMPARISONS BETWEEN ALGORITHMS TO CONSTRUCT THE RECEIVER OPERATING CHARACTERISTIC (ROC) CURVE FOR MULTIPLE SCREENING/DIAGNOSTIC TESTS. [Internet] [Masters thesis]. McMaster University; 2010. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/11375/8948.

Council of Science Editors:

Hamid M. COMPARISONS BETWEEN ALGORITHMS TO CONSTRUCT THE RECEIVER OPERATING CHARACTERISTIC (ROC) CURVE FOR MULTIPLE SCREENING/DIAGNOSTIC TESTS. [Masters Thesis]. McMaster University; 2010. Available from: http://hdl.handle.net/11375/8948


McMaster University

4. 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 April 19, 2019. 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. 19 Apr 2019.

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 2019 Apr 19]. 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

5. Zhao, Kai. Bias and Efficiency of Logistic Regression involving a Binary Covariate with Missing Observations.

Degree: MS, 2010, McMaster University

In the statistical analysis of a health research study, it is quite common to have some missing data after data collection. Typically in a… (more)

Subjects/Keywords: Statistics and Probability; Statistics and Probability

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APA (6th Edition):

Zhao, K. (2010). Bias and Efficiency of Logistic Regression involving a Binary Covariate with Missing Observations. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/8975

Chicago Manual of Style (16th Edition):

Zhao, Kai. “Bias and Efficiency of Logistic Regression involving a Binary Covariate with Missing Observations.” 2010. Masters Thesis, McMaster University. Accessed April 19, 2019. http://hdl.handle.net/11375/8975.

MLA Handbook (7th Edition):

Zhao, Kai. “Bias and Efficiency of Logistic Regression involving a Binary Covariate with Missing Observations.” 2010. Web. 19 Apr 2019.

Vancouver:

Zhao K. Bias and Efficiency of Logistic Regression involving a Binary Covariate with Missing Observations. [Internet] [Masters thesis]. McMaster University; 2010. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/11375/8975.

Council of Science Editors:

Zhao K. Bias and Efficiency of Logistic Regression involving a Binary Covariate with Missing Observations. [Masters Thesis]. McMaster University; 2010. Available from: http://hdl.handle.net/11375/8975


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 April 19, 2019. 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. 19 Apr 2019.

Vancouver:

Qin M. Variable Selection Methods for Population-based Genetic Association Studies: SPLS and HSIC. [Internet] [Masters thesis]. McMaster University; 2011. [cited 2019 Apr 19]. 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


McMaster University

7. Chen, Yalin. Implementation of Fixed and Sequential Multilevel Acceptance Sampling: The R Package MFSAS.

Degree: MS, 2010, McMaster University

Manufacturers and consumers often use acceptance sampling to determine the acceptability of a lot from an outgoing production or incoming shipment base on a… (more)

Subjects/Keywords: Statistics and Probability; Statistics and Probability

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APA (6th Edition):

Chen, Y. (2010). Implementation of Fixed and Sequential Multilevel Acceptance Sampling: The R Package MFSAS. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/9233

Chicago Manual of Style (16th Edition):

Chen, Yalin. “Implementation of Fixed and Sequential Multilevel Acceptance Sampling: The R Package MFSAS.” 2010. Masters Thesis, McMaster University. Accessed April 19, 2019. http://hdl.handle.net/11375/9233.

MLA Handbook (7th Edition):

Chen, Yalin. “Implementation of Fixed and Sequential Multilevel Acceptance Sampling: The R Package MFSAS.” 2010. Web. 19 Apr 2019.

Vancouver:

Chen Y. Implementation of Fixed and Sequential Multilevel Acceptance Sampling: The R Package MFSAS. [Internet] [Masters thesis]. McMaster University; 2010. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/11375/9233.

Council of Science Editors:

Chen Y. Implementation of Fixed and Sequential Multilevel Acceptance Sampling: The R Package MFSAS. [Masters Thesis]. McMaster University; 2010. Available from: http://hdl.handle.net/11375/9233


McMaster University

8. Liu, Zhihui. Bayesian Mixture Models.

Degree: MS, 2010, McMaster University

Mixture distributions are typically used to model data in which each observation belongs to one of some number of different groups. They also provide… (more)

Subjects/Keywords: Statistics and Probability; Statistics and Probability

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APA (6th Edition):

Liu, Z. (2010). Bayesian Mixture Models. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/9368

Chicago Manual of Style (16th Edition):

Liu, Zhihui. “Bayesian Mixture Models.” 2010. Masters Thesis, McMaster University. Accessed April 19, 2019. http://hdl.handle.net/11375/9368.

MLA Handbook (7th Edition):

Liu, Zhihui. “Bayesian Mixture Models.” 2010. Web. 19 Apr 2019.

Vancouver:

Liu Z. Bayesian Mixture Models. [Internet] [Masters thesis]. McMaster University; 2010. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/11375/9368.

Council of Science Editors:

Liu Z. Bayesian Mixture Models. [Masters Thesis]. McMaster University; 2010. Available from: http://hdl.handle.net/11375/9368


McMaster University

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

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 April 19, 2019. 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. 19 Apr 2019.

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 2019 Apr 19]. 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

10. 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 April 19, 2019. http://hdl.handle.net/11375/9916.

MLA Handbook (7th Edition):

Wong, Hoi Suen. “Analyzing Health Utility Data with Generalized Additive Models.” 2011. Web. 19 Apr 2019.

Vancouver:

Wong HS. Analyzing Health Utility Data with Generalized Additive Models. [Internet] [Masters thesis]. McMaster University; 2011. [cited 2019 Apr 19]. 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

11. 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 April 19, 2019. http://hdl.handle.net/11375/12911.

MLA Handbook (7th Edition):

Abdulkarimova, Ulviya. “Frailty Models for Modelling Heterogeneity.” 2013. Web. 19 Apr 2019.

Vancouver:

Abdulkarimova U. Frailty Models for Modelling Heterogeneity. [Internet] [Masters thesis]. McMaster University; 2013. [cited 2019 Apr 19]. 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


Purdue University

12. 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 http://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 April 19, 2019. http://docs.lib.purdue.edu/open_access_dissertations/246.

MLA Handbook (7th Edition):

Choi, InKyung. “Modeling spatial covariance functions.” 2014. Web. 19 Apr 2019.

Vancouver:

Choi I. Modeling spatial covariance functions. [Internet] [Doctoral dissertation]. Purdue University; 2014. [cited 2019 Apr 19]. Available from: http://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: http://docs.lib.purdue.edu/open_access_dissertations/246


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 April 19, 2019. 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. 19 Apr 2019.

Vancouver:

Reiners J. Computer model optimization within hidden constraints. [Internet] [Thesis]. Iowa State University; 2015. [cited 2019 Apr 19]. 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 April 19, 2019. 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. 19 Apr 2019.

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 2019 Apr 19]. 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


Iowa State University

15. 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 April 19, 2019. 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. 19 Apr 2019.

Vancouver:

Li J. Biclustering methods and a Bayesian approach to fitting Boltzmann machines in statistical learning. [Internet] [Thesis]. Iowa State University; 2014. [cited 2019 Apr 19]. 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


Iowa State University

16. 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 April 19, 2019. 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. 19 Apr 2019.

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 2019 Apr 19]. 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

17. 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 April 19, 2019. 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. 19 Apr 2019.

Vancouver:

Osthus DA. Applications of and extensions to state-space models. [Internet] [Thesis]. Iowa State University; 2015. [cited 2019 Apr 19]. 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

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

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 April 19, 2019. 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. 19 Apr 2019.

Vancouver:

Bares V. Identifying Predictors of Weight Loss and Drop-Out Using Joint Modeling. [Internet] [Doctoral dissertation]. South Dakota State University; 2017. [cited 2019 Apr 19]. 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


Purdue University

19. 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 http://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 April 19, 2019. http://docs.lib.purdue.edu/open_access_dissertations/281.

MLA Handbook (7th Edition):

Han, Xiang. “Divide and recombine: Autoregressive models and STL+.” 2014. Web. 19 Apr 2019.

Vancouver:

Han X. Divide and recombine: Autoregressive models and STL+. [Internet] [Doctoral dissertation]. Purdue University; 2014. [cited 2019 Apr 19]. Available from: http://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: http://docs.lib.purdue.edu/open_access_dissertations/281


Purdue University

20. 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 http://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 April 19, 2019. http://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. 19 Apr 2019.

Vancouver:

Huang YE. Spatial marked point processes: Models and inferences. [Internet] [Doctoral dissertation]. Purdue University; 2014. [cited 2019 Apr 19]. Available from: http://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: http://docs.lib.purdue.edu/open_access_dissertations/291


Purdue University

21. Li, Jianfu. The Tessera D&R computational environment: Designed experiments for R-Hadoop performance and Bitcoin analysis.

Degree: PhD, Statistics, 2014, Purdue University

  D&R is a statistical framework for the analysis of large complex data that enables feasible and practical analysis of large complex data. The analyst… (more)

Subjects/Keywords: Statistics and Probability

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APA (6th Edition):

Li, J. (2014). The Tessera D&R computational environment: Designed experiments for R-Hadoop performance and Bitcoin analysis. (Doctoral Dissertation). Purdue University. Retrieved from http://docs.lib.purdue.edu/open_access_dissertations/317

Chicago Manual of Style (16th Edition):

Li, Jianfu. “The Tessera D&R computational environment: Designed experiments for R-Hadoop performance and Bitcoin analysis.” 2014. Doctoral Dissertation, Purdue University. Accessed April 19, 2019. http://docs.lib.purdue.edu/open_access_dissertations/317.

MLA Handbook (7th Edition):

Li, Jianfu. “The Tessera D&R computational environment: Designed experiments for R-Hadoop performance and Bitcoin analysis.” 2014. Web. 19 Apr 2019.

Vancouver:

Li J. The Tessera D&R computational environment: Designed experiments for R-Hadoop performance and Bitcoin analysis. [Internet] [Doctoral dissertation]. Purdue University; 2014. [cited 2019 Apr 19]. Available from: http://docs.lib.purdue.edu/open_access_dissertations/317.

Council of Science Editors:

Li J. The Tessera D&R computational environment: Designed experiments for R-Hadoop performance and Bitcoin analysis. [Doctoral Dissertation]. Purdue University; 2014. Available from: http://docs.lib.purdue.edu/open_access_dissertations/317


Purdue University

22. Wang, Libo. Identification of genomic factors using family-based association studies.

Degree: PhD, Statistics, 2014, Purdue University

  Genome-wide association studies become increasingly popular and important for detecting genetic associations of complex traits. However, it is well known that spurious associations could… (more)

Subjects/Keywords: Statistics and Probability

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

APA (6th Edition):

Wang, L. (2014). Identification of genomic factors using family-based association studies. (Doctoral Dissertation). Purdue University. Retrieved from http://docs.lib.purdue.edu/open_access_dissertations/383

Chicago Manual of Style (16th Edition):

Wang, Libo. “Identification of genomic factors using family-based association studies.” 2014. Doctoral Dissertation, Purdue University. Accessed April 19, 2019. http://docs.lib.purdue.edu/open_access_dissertations/383.

MLA Handbook (7th Edition):

Wang, Libo. “Identification of genomic factors using family-based association studies.” 2014. Web. 19 Apr 2019.

Vancouver:

Wang L. Identification of genomic factors using family-based association studies. [Internet] [Doctoral dissertation]. Purdue University; 2014. [cited 2019 Apr 19]. Available from: http://docs.lib.purdue.edu/open_access_dissertations/383.

Council of Science Editors:

Wang L. Identification of genomic factors using family-based association studies. [Doctoral Dissertation]. Purdue University; 2014. Available from: http://docs.lib.purdue.edu/open_access_dissertations/383


Purdue University

23. Gautier, Philip. Divide and recombine for large complex data: The subset likelihood modeling approach to recombination.

Degree: PhD, Statistics, 2015, Purdue University

  Divide and recombine (D&R) is a statistical framework for the analysis of large complex data. The data are divided into subsets. Numeric and visualization… (more)

Subjects/Keywords: Statistics and Probability

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APA (6th Edition):

Gautier, P. (2015). Divide and recombine for large complex data: The subset likelihood modeling approach to recombination. (Doctoral Dissertation). Purdue University. Retrieved from http://docs.lib.purdue.edu/open_access_dissertations/458

Chicago Manual of Style (16th Edition):

Gautier, Philip. “Divide and recombine for large complex data: The subset likelihood modeling approach to recombination.” 2015. Doctoral Dissertation, Purdue University. Accessed April 19, 2019. http://docs.lib.purdue.edu/open_access_dissertations/458.

MLA Handbook (7th Edition):

Gautier, Philip. “Divide and recombine for large complex data: The subset likelihood modeling approach to recombination.” 2015. Web. 19 Apr 2019.

Vancouver:

Gautier P. Divide and recombine for large complex data: The subset likelihood modeling approach to recombination. [Internet] [Doctoral dissertation]. Purdue University; 2015. [cited 2019 Apr 19]. Available from: http://docs.lib.purdue.edu/open_access_dissertations/458.

Council of Science Editors:

Gautier P. Divide and recombine for large complex data: The subset likelihood modeling approach to recombination. [Doctoral Dissertation]. Purdue University; 2015. Available from: http://docs.lib.purdue.edu/open_access_dissertations/458


Carnegie Mellon University

24. 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 April 19, 2019. 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. 19 Apr 2019.

Vancouver:

Galyardt A. Mixed Membership Distributions with Applications to Modeling Multiple Strategy Usage. [Internet] [Thesis]. Carnegie Mellon University; 2012. [cited 2019 Apr 19]. 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

25. 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 April 19, 2019. 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. 19 Apr 2019.

Vancouver:

Weaver R. Behavioral Modeling of Botnet Populations Viewed through Internet Protocol Address Space. [Internet] [Thesis]. Carnegie Mellon University; 2012. [cited 2019 Apr 19]. 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

26. 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 (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 April 19, 2019. 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. 19 Apr 2019.

Vancouver:

Okamura S. The Short Time Fourier Transform and Local Signals. [Internet] [Thesis]. Carnegie Mellon University; 2011. [cited 2019 Apr 19]. 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

27. 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 April 19, 2019. 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. 19 Apr 2019.

Vancouver:

Buchman S. High-Dimensional Adaptive Basis Density Estimation. [Internet] [Thesis]. Carnegie Mellon University; 2011. [cited 2019 Apr 19]. 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

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

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 April 19, 2019. 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. 19 Apr 2019.

Vancouver:

Goerg GM. Learning Spatio-Temporal Dynamics: Nonparametric Methods for Optimal Forecasting and Automated Pattern Discovery. [Internet] [Thesis]. Carnegie Mellon University; 2012. [cited 2019 Apr 19]. 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


Wayne State University

29. King, Mona. A Comparison Of Discriminant Function Analysis And Logistic Regression By Categorizing The Incarcerated Mentally Ill.

Degree: EdD, Education Evaluation and Research, 2018, Wayne State University

  Both discriminant function analysis (DFA) and logistic regression (LR) are used to classify subjects into a category/group based upon several explanatory variables (Liong &… (more)

Subjects/Keywords: Statistics and Probability

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APA (6th Edition):

King, M. (2018). A Comparison Of Discriminant Function Analysis And Logistic Regression By Categorizing The Incarcerated Mentally Ill. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/2039

Chicago Manual of Style (16th Edition):

King, Mona. “A Comparison Of Discriminant Function Analysis And Logistic Regression By Categorizing The Incarcerated Mentally Ill.” 2018. Doctoral Dissertation, Wayne State University. Accessed April 19, 2019. https://digitalcommons.wayne.edu/oa_dissertations/2039.

MLA Handbook (7th Edition):

King, Mona. “A Comparison Of Discriminant Function Analysis And Logistic Regression By Categorizing The Incarcerated Mentally Ill.” 2018. Web. 19 Apr 2019.

Vancouver:

King M. A Comparison Of Discriminant Function Analysis And Logistic Regression By Categorizing The Incarcerated Mentally Ill. [Internet] [Doctoral dissertation]. Wayne State University; 2018. [cited 2019 Apr 19]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/2039.

Council of Science Editors:

King M. A Comparison Of Discriminant Function Analysis And Logistic Regression By Categorizing The Incarcerated Mentally Ill. [Doctoral Dissertation]. Wayne State University; 2018. Available from: https://digitalcommons.wayne.edu/oa_dissertations/2039


University of Iowa

30. Su, Fei. Statistical analysis of non-linear diffusion process.

Degree: PhD, Statistics, 2011, University of Iowa

  In this paper, we study the problem of statistical inference of continuous-time diffusion processes and their higher-order analogues, and develop methods for modeling threshold… (more)

Subjects/Keywords: Statistics and Probability

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

APA (6th Edition):

Su, F. (2011). Statistical analysis of non-linear diffusion process. (Doctoral Dissertation). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/2776

Chicago Manual of Style (16th Edition):

Su, Fei. “Statistical analysis of non-linear diffusion process.” 2011. Doctoral Dissertation, University of Iowa. Accessed April 19, 2019. https://ir.uiowa.edu/etd/2776.

MLA Handbook (7th Edition):

Su, Fei. “Statistical analysis of non-linear diffusion process.” 2011. Web. 19 Apr 2019.

Vancouver:

Su F. Statistical analysis of non-linear diffusion process. [Internet] [Doctoral dissertation]. University of Iowa; 2011. [cited 2019 Apr 19]. Available from: https://ir.uiowa.edu/etd/2776.

Council of Science Editors:

Su F. Statistical analysis of non-linear diffusion process. [Doctoral Dissertation]. University of Iowa; 2011. Available from: https://ir.uiowa.edu/etd/2776

[1] [2] [3] [4] [5] … [70]

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