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You searched for +publisher:"Baylor University" +contributor:("Young, Dean M"). Showing records 1 – 10 of 10 total matches.

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Baylor University

1. Rahardja, Dewi Gabriela. Bayesian and likelihood-based interval estimation for the risk ratio using double sampling with misclassified binomial data.

Degree: Statistical Sciences., 2011, Baylor University

 We consider the problem of point and interval estimation for the risk ratio using double sampling with two-sample misclassified binary data. For such data, it… (more)

Subjects/Keywords: Misclassification.; Binomial data.; Double sampling.; Risk ratio.; Interval estimation.

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

APA (6th Edition):

Rahardja, D. G. (2011). Bayesian and likelihood-based interval estimation for the risk ratio using double sampling with misclassified binomial data. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/8095

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):

Rahardja, Dewi Gabriela. “Bayesian and likelihood-based interval estimation for the risk ratio using double sampling with misclassified binomial data. ” 2011. Thesis, Baylor University. Accessed November 13, 2019. http://hdl.handle.net/2104/8095.

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

MLA Handbook (7th Edition):

Rahardja, Dewi Gabriela. “Bayesian and likelihood-based interval estimation for the risk ratio using double sampling with misclassified binomial data. ” 2011. Web. 13 Nov 2019.

Vancouver:

Rahardja DG. Bayesian and likelihood-based interval estimation for the risk ratio using double sampling with misclassified binomial data. [Internet] [Thesis]. Baylor University; 2011. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/2104/8095.

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

Council of Science Editors:

Rahardja DG. Bayesian and likelihood-based interval estimation for the risk ratio using double sampling with misclassified binomial data. [Thesis]. Baylor University; 2011. Available from: http://hdl.handle.net/2104/8095

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


Baylor University

2. Markova, Denka G. Topics in odds ratio estimation in the case-control studies and the bioequivalence testing in the crossover studies.

Degree: Statistical Sciences., 2011, Baylor University

 The double-sampling paradigm, which has become an important part of the epidemiological designs, includes two stages. First, individuals are classified into groups by disease and… (more)

Subjects/Keywords: Case-control studies.; Confidence intervals.; Bisectional method.; Crossover design.; Bioequivalence test.; Generic drug.

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

APA (6th Edition):

Markova, D. G. (2011). Topics in odds ratio estimation in the case-control studies and the bioequivalence testing in the crossover studies. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/8272

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):

Markova, Denka G. “Topics in odds ratio estimation in the case-control studies and the bioequivalence testing in the crossover studies. ” 2011. Thesis, Baylor University. Accessed November 13, 2019. http://hdl.handle.net/2104/8272.

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

MLA Handbook (7th Edition):

Markova, Denka G. “Topics in odds ratio estimation in the case-control studies and the bioequivalence testing in the crossover studies. ” 2011. Web. 13 Nov 2019.

Vancouver:

Markova DG. Topics in odds ratio estimation in the case-control studies and the bioequivalence testing in the crossover studies. [Internet] [Thesis]. Baylor University; 2011. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/2104/8272.

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

Council of Science Editors:

Markova DG. Topics in odds ratio estimation in the case-control studies and the bioequivalence testing in the crossover studies. [Thesis]. Baylor University; 2011. Available from: http://hdl.handle.net/2104/8272

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


Baylor University

3. Njoh, Linda. Topics in interval estimation for two problems using double sampling.

Degree: Statistical Sciences., 2014, Baylor University

 This dissertation addresses two distinct topics. The first considers interval estimation methods of the odds ratio parameter in two by two cohort studies with misclassified… (more)

Subjects/Keywords: Three approximate confidence intervals for the odds ratio in a two by two cohort study with differential misclassification.; Three First-order asymptotic confidence intervals for the odds ratio in a two by two cohort study with non-differential misclassification.; Approximate interval estimation of a poisson rate parameter using data subject to misclassification.; Approximate interval estimation of a poisson rate parameter using data subject to visibility bias.; Confidence intervals.; Sampling statistics.

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

APA (6th Edition):

Njoh, L. (2014). Topics in interval estimation for two problems using double sampling. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/8915

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):

Njoh, Linda. “Topics in interval estimation for two problems using double sampling. ” 2014. Thesis, Baylor University. Accessed November 13, 2019. http://hdl.handle.net/2104/8915.

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

MLA Handbook (7th Edition):

Njoh, Linda. “Topics in interval estimation for two problems using double sampling. ” 2014. Web. 13 Nov 2019.

Vancouver:

Njoh L. Topics in interval estimation for two problems using double sampling. [Internet] [Thesis]. Baylor University; 2014. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/2104/8915.

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

Council of Science Editors:

Njoh L. Topics in interval estimation for two problems using double sampling. [Thesis]. Baylor University; 2014. Available from: http://hdl.handle.net/2104/8915

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


Baylor University

4. Greer, Brandi A. Bayesian and pseudo-likelihood interval estimation for comparing two Poisson rate parameters using under-reported data.

Degree: Statistical Sciences., 2009, Baylor University

 We present interval estimation methods for comparing Poisson rate parameters from two independent populations with under-reported data for the rate difference and the rate ratio.… (more)

Subjects/Keywords: Confidence intervals.; Poisson distribution.; Bayesian statistical decision theory.; Sampling (Statistics); Monte Carlo method.; Mathematical statistics.

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

APA (6th Edition):

Greer, B. A. (2009). Bayesian and pseudo-likelihood interval estimation for comparing two Poisson rate parameters using under-reported data. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/5283

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):

Greer, Brandi A. “Bayesian and pseudo-likelihood interval estimation for comparing two Poisson rate parameters using under-reported data. ” 2009. Thesis, Baylor University. Accessed November 13, 2019. http://hdl.handle.net/2104/5283.

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

MLA Handbook (7th Edition):

Greer, Brandi A. “Bayesian and pseudo-likelihood interval estimation for comparing two Poisson rate parameters using under-reported data. ” 2009. Web. 13 Nov 2019.

Vancouver:

Greer BA. Bayesian and pseudo-likelihood interval estimation for comparing two Poisson rate parameters using under-reported data. [Internet] [Thesis]. Baylor University; 2009. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/2104/5283.

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

Council of Science Editors:

Greer BA. Bayesian and pseudo-likelihood interval estimation for comparing two Poisson rate parameters using under-reported data. [Thesis]. Baylor University; 2009. Available from: http://hdl.handle.net/2104/5283

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


Baylor University

5. [No author]. Topics in Bayesian adaptive clinical trial design using dynamic linear models and missing data imputation in logistic regression.

Degree: 2015, Baylor University

 Conventional Phase II clinical trial designs usually employ a logistic regression model to analyze the efficacy of a new drug and, therefore, assumes monotone dose-response… (more)

Subjects/Keywords: Clinical trial. Dynamic linear model. Logistic regression.

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

APA (6th Edition):

author], [. (2015). Topics in Bayesian adaptive clinical trial design using dynamic linear models and missing data imputation in logistic regression. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/9557

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):

author], [No. “Topics in Bayesian adaptive clinical trial design using dynamic linear models and missing data imputation in logistic regression. ” 2015. Thesis, Baylor University. Accessed November 13, 2019. http://hdl.handle.net/2104/9557.

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

MLA Handbook (7th Edition):

author], [No. “Topics in Bayesian adaptive clinical trial design using dynamic linear models and missing data imputation in logistic regression. ” 2015. Web. 13 Nov 2019.

Vancouver:

author] [. Topics in Bayesian adaptive clinical trial design using dynamic linear models and missing data imputation in logistic regression. [Internet] [Thesis]. Baylor University; 2015. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/2104/9557.

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

Council of Science Editors:

author] [. Topics in Bayesian adaptive clinical trial design using dynamic linear models and missing data imputation in logistic regression. [Thesis]. Baylor University; 2015. Available from: http://hdl.handle.net/2104/9557

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


Baylor University

6. [No author]. Three applications of linear dimension reduction.

Degree: 2017, Baylor University

 Linear Dimension Reduction (LDR) has many uses in engineering, business, medicine, economics, data science and others. LDR can be employed when observations are recorded with… (more)

Subjects/Keywords: Linear dimension reduction.

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

APA (6th Edition):

author], [. (2017). Three applications of linear dimension reduction. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/10182

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):

author], [No. “Three applications of linear dimension reduction. ” 2017. Thesis, Baylor University. Accessed November 13, 2019. http://hdl.handle.net/2104/10182.

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

MLA Handbook (7th Edition):

author], [No. “Three applications of linear dimension reduction. ” 2017. Web. 13 Nov 2019.

Vancouver:

author] [. Three applications of linear dimension reduction. [Internet] [Thesis]. Baylor University; 2017. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/2104/10182.

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

Council of Science Editors:

author] [. Three applications of linear dimension reduction. [Thesis]. Baylor University; 2017. Available from: http://hdl.handle.net/2104/10182

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


Baylor University

7. Stock, Eileen Marie. Interval estimation for TPRs and FPRs of two diagnostic tests with unverified negatives.

Degree: Statistical Sciences., 2011, Baylor University

 In the clinical setting, the performance of a diagnostic or screening test is often summarized using the test's true positive rate (TPR) and false positive… (more)

Subjects/Keywords: Sensitivity and specificity.; Hierarchical Bayesian model.; Diagnostic or screening tests.; Unverified negatives.; Monotone missing data.; Multivariate normality.; Multiple imputation.; Wald confidence interval.

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APA (6th Edition):

Stock, E. M. (2011). Interval estimation for TPRs and FPRs of two diagnostic tests with unverified negatives. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/8173

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):

Stock, Eileen Marie. “Interval estimation for TPRs and FPRs of two diagnostic tests with unverified negatives. ” 2011. Thesis, Baylor University. Accessed November 13, 2019. http://hdl.handle.net/2104/8173.

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

MLA Handbook (7th Edition):

Stock, Eileen Marie. “Interval estimation for TPRs and FPRs of two diagnostic tests with unverified negatives. ” 2011. Web. 13 Nov 2019.

Vancouver:

Stock EM. Interval estimation for TPRs and FPRs of two diagnostic tests with unverified negatives. [Internet] [Thesis]. Baylor University; 2011. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/2104/8173.

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

Council of Science Editors:

Stock EM. Interval estimation for TPRs and FPRs of two diagnostic tests with unverified negatives. [Thesis]. Baylor University; 2011. Available from: http://hdl.handle.net/2104/8173

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

8. Ramey, John A. Selected topics in high-dimensional statistical learning.

Degree: Statistical Sciences., 2012, Baylor University

 Advances in microarray technology have equipped researchers to measure gene expression levels simultaneously from thousands of genes, yielding increasingly large and complex data sets. However,… (more)

Subjects/Keywords: Supervised learning.; Unsupervised learning.; Clustering.; Clustering stability.; Clustering evaluation.; Classification.; Naive Bayes classifier.; Regularized discriminant analysis.; Diagonal discriminant analysis.; Error-rate estimation.; Gene expression data.; Microarray data.

…this dissertation. Thank you to the entire statistics department at Baylor University for… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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

APA (6th Edition):

Ramey, J. A. (2012). Selected topics in high-dimensional statistical learning. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/8513

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):

Ramey, John A. “Selected topics in high-dimensional statistical learning. ” 2012. Thesis, Baylor University. Accessed November 13, 2019. http://hdl.handle.net/2104/8513.

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

MLA Handbook (7th Edition):

Ramey, John A. “Selected topics in high-dimensional statistical learning. ” 2012. Web. 13 Nov 2019.

Vancouver:

Ramey JA. Selected topics in high-dimensional statistical learning. [Internet] [Thesis]. Baylor University; 2012. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/2104/8513.

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

Council of Science Editors:

Ramey JA. Selected topics in high-dimensional statistical learning. [Thesis]. Baylor University; 2012. Available from: http://hdl.handle.net/2104/8513

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


Baylor University

9. Ounpraseuth, Songthip T. Selected topics in statistical discriminant analysis.

Degree: Statistical Sciences., 2007, Baylor University

 This dissertation consists of three selected topics in statistical discriminant analysis: dimension reduction, regularization methods, and imputation methods. In Chapter 2 we first derive a… (more)

Subjects/Keywords: Discriminant analysis.; Multivariate analysis.; Bayesian statistical decision theory.

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APA (6th Edition):

Ounpraseuth, S. T. (2007). Selected topics in statistical discriminant analysis. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/4883

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):

Ounpraseuth, Songthip T. “Selected topics in statistical discriminant analysis. ” 2007. Thesis, Baylor University. Accessed November 13, 2019. http://hdl.handle.net/2104/4883.

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

MLA Handbook (7th Edition):

Ounpraseuth, Songthip T. “Selected topics in statistical discriminant analysis. ” 2007. Web. 13 Nov 2019.

Vancouver:

Ounpraseuth ST. Selected topics in statistical discriminant analysis. [Internet] [Thesis]. Baylor University; 2007. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/2104/4883.

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

Council of Science Editors:

Ounpraseuth ST. Selected topics in statistical discriminant analysis. [Thesis]. Baylor University; 2007. Available from: http://hdl.handle.net/2104/4883

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


Baylor University

10. Riggs, Kent Edward. Maximum-likelihood-based confidence regions and hypothesis tests for selected statistical models.

Degree: Statistical Sciences., 2007, Baylor University

 We apply maximum likelihood methods for statistical inference on parameters of interest for three different types of statistical models. The models are a seemingly unrelated… (more)

Subjects/Keywords: Regression analysis.; Statistical tolerance regions.; Confidence intervals.

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

APA (6th Edition):

Riggs, K. E. (2007). Maximum-likelihood-based confidence regions and hypothesis tests for selected statistical models. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/4879

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):

Riggs, Kent Edward. “Maximum-likelihood-based confidence regions and hypothesis tests for selected statistical models. ” 2007. Thesis, Baylor University. Accessed November 13, 2019. http://hdl.handle.net/2104/4879.

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

MLA Handbook (7th Edition):

Riggs, Kent Edward. “Maximum-likelihood-based confidence regions and hypothesis tests for selected statistical models. ” 2007. Web. 13 Nov 2019.

Vancouver:

Riggs KE. Maximum-likelihood-based confidence regions and hypothesis tests for selected statistical models. [Internet] [Thesis]. Baylor University; 2007. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/2104/4879.

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

Council of Science Editors:

Riggs KE. Maximum-likelihood-based confidence regions and hypothesis tests for selected statistical models. [Thesis]. Baylor University; 2007. Available from: http://hdl.handle.net/2104/4879

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

.