Scott S. Emerson, M.D., Ph.D.
Professor of Biostatistics
Department of Biostatistics
University of Washington

Statistical Inference
Review of random variables; transformations, conditional expectation, moment, generating functions, convergence, limit theorems, estimation; Cramer-Rao lower, bound, maximum likelihood estimation, sufficiency, ancillarity, completeness. Rao-Blackwell theorem. Hypothesis testing: Neyman-Pearson lemma, monotone likelihood ratio, likelihood-ratio tests, large-sample theory. Contingency tables, confidence intervals, invariance. Introduction to decision theory.

Syllabus and General Information
   STAT 513 Syllabus (pdf)

Homeworks

Homework 1
Dudewicz & Mishra: 7.3.8, 7.3.11, 7.5.1, 7.5.2, 7.5.3, 7.5.7, 7.5.10
   Supplemental Problems (pdf)
   Key (pdf)

Homework 2
   Supplemental Problems (pdf)
   Data (txt)
   Key (pdf)

Homework 3
Dudewicz & Mishra: 7.8, 7.10, 7.11, 7.13, 7.14
   Supplemental Problems (pdf)
   Key (pdf)

Homework 4
Dudewicz & Mishra: 8.1.4, 8.1.11, 8.1.12, 8.2.4, 8.2.5, 8.2.9, 8.2.15, 8.2.17
   Key (pdf)

Homework 5
Dudewicz & Mishra: 8.3.3, 8.3.6, 8.3.7, 8.3.9, 8.3.11, 9.2.1, 9.2.5
   Supplemental Problems (pdf)
   Key (pdf)

Homework 6
Dudewicz & Mishra: 9.3.1, 9.3.2, 9.3.5, 9.3.6, 9.3.8, 9.3.11, 9.3.13
   Key (pdf)

Homework 7
   Supplemental Problems (pdf)
   Key (pdf)

b>Homework 8
   Supplemental Problems (pdf)
   Key (pdf)

Exam Keys
   Midterm 1 Key (pdf)
   Midterm 2 Key (pdf)

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