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You searched for `+publisher:"Baylor University" +contributor:("Young, Dean M")`

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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

URL: http://hdl.handle.net/2104/8095

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

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

URL: http://hdl.handle.net/2104/8272

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/2104/8915

► 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.

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/2104/5283

► 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.

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/2104/9557

► 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.

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

Not specified: Masters Thesis or Doctoral Dissertation

Baylor University

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

Degree: 2017, Baylor University

URL: http://hdl.handle.net/2104/10182

► 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.

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/2104/8173

► 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.

Record Details Similar Records

❌

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Degree: Statistical Sciences., 2012, Baylor University

URL: http://hdl.handle.net/2104/8513

► 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…

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/2104/4883

► 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.

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/2104/4879

► 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.

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

Not specified: Masters Thesis or Doctoral Dissertation