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Marshall University. Mathematics. degree granting institution.

(2)

Agboola, Oluwagbenga David, author.

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Baylor University. Statistical Science. degree granting institution.

(1)

Bowman, Adrian William, author.

(1)

Du, Chengan, author.

(1)

Edirisinghe, Pasan Manuranga, author.

(1)

George Mason University. Statistical Science. degree granting institution.

(1)

Humphrey, Colman, author.

(1)

Iowa State University. Statistics. degree granting institution.

(1)

Missouri University of Science and Technology. Mathematics. degree granting institution.

(1)

Oluwagbenga, Agboola David, author.

(1)

Price, Michael Joseph, author.

(1)

Shao, Kanghong, author.

(1)

Sharker, M. A. Yushuf, author.

(1)

Syring, Nicholas Aaron, author.

(1)

The Ohio State University. Statistics. degree granting institution.

(1)

University of California, Los Angeles. Statistics 0891. degree granting institution.

(1)

University of Florida. degree granting institution.

(1)

University of Glasgow (United Kingdom). Department not provided. degree granting institution.

(1)

University of Illinois at Chicago. Mathematics, Statistics, and Computer Science. degree granting institution.

(1)

University of Kentucky. Public Health. degree granting institution.

(1)

University of Pennsylvania. Statistics. degree granting institution.

(1)

Yan, Donglin, author.

(1)

Yan, Zhifei, author.

(1)

Zhou, Qi, author.

(1)

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Social structure.

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Urban planning.

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Başkent Library

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Cover image for Matching: The Search for Control

Matching: The Search for Control

1.

Matching: The Search for Control

by

Humphrey, Colman, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10809505

Format:

Excerpt:

generate probabilities at each time point; these form the basis of an interrupted time series match.

Cover image for Preference Probability Based on Ranks - A New Approach Using Logistic Regression with Zero Intercept

Preference Probability Based on Ranks - A New Approach Using Logistic Regression with Zero Intercept

2.

Preference Probability Based on Ranks - A New Approach Using Logistic Regression with Zero Intercept

by

Oluwagbenga, Agboola David, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10813529

Format:

Excerpt:

a new approach for estimating pairwise preference probabilities based on observed rankings. The new

Cover image for Preference Probability Based on Ranks - A New Approach Using Logistic Regression with Zero Intercept

Preference Probability Based on Ranks - A New Approach Using Logistic Regression with Zero Intercept

3.

Preference Probability Based on Ranks - A New Approach Using Logistic Regression with Zero Intercept

by

Agboola, Oluwagbenga David, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10824140

Format:

Excerpt:

a new approach for estimating pairwise preference probabilities based on observed rankings. The new

Cover image for Statistical Models for Cognitive Social Structures

Statistical Models for Cognitive Social Structures

4.

Statistical Models for Cognitive Social Structures

by

Shao, Kanghong, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10829462

Format:

Excerpt:

which the joint distribution of the edges probabilities is defined through a mixture model that reduces

Cover image for Network Analysis with Nodal Covariates

Network Analysis with Nodal Covariates

5.

Network Analysis with Nodal Covariates

by

Du, Chengan, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10813827

Format:

Excerpt:

between link probabilities according to similarities of node pairs. Moreover, the proposed link prediction

Cover image for Bayesian Propensity Score Analysis for Clustered Observational Studies

Bayesian Propensity Score Analysis for Clustered Observational Studies

6.

Bayesian Propensity Score Analysis for Clustered Observational Studies

by

Zhou, Qi, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10790399

Format:

Excerpt:

exposure-response surface can be recovered through two classification probabilities, the sensitivity and

Cover image for Penalized B-Splines and Their Application with an in Depth Look at the Bivariate Tensor Product Penalized B-Spline

Penalized B-Splines and Their Application with an in Depth Look at the Bivariate Tensor Product Penalized B-Spline

7.

Penalized B-Splines and Their Application with an in Depth Look at the Bivariate Tensor Product Penalized B-Spline

by

Price, Michael Joseph, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10785665

Format:

Excerpt:

estimated self-selection probabilities, gives consistent estimates of treatment effects. The asymptotic

Cover image for Pairwise Accelerated Failure Time Models for Infectious Disease Transmission Data

Pairwise Accelerated Failure Time Models for Infectious Disease Transmission Data

8.

Pairwise Accelerated Failure Time Models for Infectious Disease Transmission Data

by

Sharker, M. A. Yushuf, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10902847

Format:

Excerpt:

model is biased upward and produces confidence intervals with poor coverage probabilities. Accurate

Cover image for Semidefinite Programming Approaches to Network Clustering and Smoothing

Semidefinite Programming Approaches to Network Clustering and Smoothing

9.

Semidefinite Programming Approaches to Network Clustering and Smoothing

by

Yan, Zhifei, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10891772

Format:

Excerpt:

probabilities estimation. Interestingly, despite different motivations, it turns out that the proposed

Cover image for Small Sample Saddlepoint Confidence Intervals in Epidemiology

Small Sample Saddlepoint Confidence Intervals in Epidemiology

10.

Small Sample Saddlepoint Confidence Intervals in Epidemiology

by

Edirisinghe, Pasan Manuranga, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10187535

Format:

Excerpt:

probabilities, to CDF0, CDF1 and CDF2 which are the CDF pivot methods with no mid-P correction, a one

Cover image for Some aspects of density estimation by the kernel method

Some aspects of density estimation by the kernel method

11.

Some aspects of density estimation by the kernel method

by

Bowman, Adrian William, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10867868

Format:

Excerpt:

density estimation framework. Chapter 5 deals with nonparametric estimation of the cell probabilities in a

Cover image for Bivariate Generalization of the Time-to-Event Conditional Reassessment Method with a Novel Adaptive Randomization Method

Bivariate Generalization of the Time-to-Event Conditional Reassessment Method with a Novel Adaptive Randomization Method

12.

Bivariate Generalization of the Time-to-Event Conditional Reassessment Method with a Novel Adaptive Randomization Method

by

Yan, Donglin, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10902431

Format:

Excerpt:

proposed to calculate dose assigning probabilities by averaging all candidate models that fit the observed

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