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BST 651 Statistical Inference II 4.0 Credits

This course is a continuation of Biostatistics Theory I. The objective of this course is to introduce students to the fundamental concepts and methods of statistical inference. Topics include: point and interval estimation, methods of moments, maximum likelihood estimation, Bayes estimates, hypothesis testing, Neyman-Pearson lemma, likelihood ratio tests and large sample approximation; Bayesian analysis.

College/Department: Dornsife School of Public Health
Repeat Status: Not repeatable for credit
Prerequisites: BST 551 [Min Grade: C]

Biostatistics PhD

http://catalog.drexel.edu/graduate/schoolofpublichealth/biostatisticsphd/

...BST 604 Applied Bayesian Analysis 3.0 BST 651 Statistical Inference II 4.0 BST...

Biostatistics

http://catalog.drexel.edu/graduate/schoolofpublichealth/biostatistics/

...BST 569 Linear Statistical Models 4.0 Term Credits 10.0 Term 2 BST 651...

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