BST 651 - Statistical Inference II

Description
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.
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Recent Semesters
Spring 2018
Offered
TuTh
Avg. Class Size
25
Avg. Sections
1