Statistical Inference II
BIOSTAT 241
Subject & Catalog Number
Course Information
Description
Advanced topics in statistical inference. Limit theorems, multivariate delta method, properties of maximum likelihood estimators, saddle point approximations, asymptotic relative efficiency, robust and rank-based procedures, resampling methods, nonparametric curve estimation.
Course Notes
Offered jointly with the School of Public Health as BST 241.
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 240
General Education
N/A
Quantitative Reasoning with Data
N/A
Divisional Distribution
Science & Engineering & Applied Science
Course Level
Primarily for Graduate Students
