Lecture Notes for BST632 - Spring Semester 2009
Syllabus
Lecture Notes
- Lecture 01 : Sufficient Statistics, Minimal Sufficient Statistics, Ancillary Statistics, Complete Statistics
- Lecture 02 : Likelihood Function, Equivariance Principle
- Lecture 03 : Methods of Finding Estimators: Method of Moments (MME), Maximum Likelihood (MLE), Bayes Estimators
- Lecture 04 : Methods of Evaluating Estimators: Mean Squared Error, Best Unbiased Estimator, Sufficiency and Unbiasedness, Loss Function Optimality
- Lecture 05 : Hypothesis Testing, Methods of Finding Tests, Likelihood Ration Tests, Bayesian Tests
- Lecture 06 : Methods of Evaluating Tests: Error Probabilities and the Power Function
- Lecture 07 : Interval Estimation, Inverting a Test Statistic, Pivotal Quantities, Size and Coverage Probaility
- Lecture 08 : Convergence Concepts, Delta Method, Consistency, Efficiency, Asympotic Dsitributions of LRTs, Large-Sample Tests and Intervals
- Review Lecture 1 : Review for Chapter 6, 7, and 8
- Review Lecture 2 : Review for Chapter 8, 9, and 10
Homework
Exams
Created Date: May 01, 2009
Last Updated Date: March 15, 2012
Contact the Lecturer:
Kui Zhang, Ph.D.
Section on Statistical Genetics
Department of Biostatistics
University of Alabama at Birmingham
Birmingham, AL, 35294
(205) 996-4094 (phone)
(205) 975-2540 (fax)
Email: kzhang@ms.soph.uab.edu