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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]

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