Statistical Inference I
BIOSTAT 231
Subject & Catalog Number
Course Information
Description
Exponential families, sufficiency, ancillarity, completeness, method of moments, maximum likelihood, unbiased estimation, Rao-Blackwell and Lehmann-Scheffe theorems, information inequality, Neyman-Pearson theory, likelihood ratio, score and Wald tests, uniformly and locally most powerful tests, asymptotic relative efficiency.
Course Notes
Offered jointly with the School of Public Health as BST231.
School
Faculty of Arts & Sciences
Credits
4
Cross Reg
Available for Harvard Cross Registration
Department
Biostatistics
Course Component
Lecture
Subject
Biostatistics
Grading Basis
FAS Letter Graded
Course Requirements
Prerequisite: Biostatistics 230
General Education
N/A
Quantitative Reasoning with Data
N/A
Divisional Distribution
Science & Engineering & Applied Science
Course Level
Primarily for Graduate Students
