Math 152. Statistical Theory. Spring 2002

Tentative Schedule of Lectures and Examinations

 
Date
Topic
     
W Jan 23 Introduction: What is statistical inference?
F Jan 25 Review of probability theory.
     
M Jan 28 Review of probability theory (continued).
W Jan 30 Review of probability theory (continued).
F Feb 1 Random Variables. Examples and problems.
     
M Feb 4

Expected values and moments.

W Feb 6 The moment generating function.
F Feb. 8 On statistical sampling. Examples and problems
     
M Feb11 Multivariate random variables
W Feb 13 Independent random variables.
F Feb 15 Functions of independent random variables. Examples and problems.
     
M Feb 18 Random samples and statistics.
W Feb 20 Review
F Feb 22 Exam 1
     
M Feb 25 The sufficiency principle.
W Feb 27 The likelihood principle.
F Mar 1 The equivariance principle.
     
M Mar 4 Parameter estimation: method of moments.
W Mar 6 The maximum likelihood estimators.
F Mar 8 Sufficiency and unbiasedness.
     
M Mar 11 Hypothesis testing.
W Mar 13 Hypothesis testing (continued).
F Mar 15 Hypothesis testing (continued). (Last day to drop or declare P/NC)
     
M Mar 18 Spring Recess!
W Mar 20 Spring Recess!
F Mar 22 Spring Recess!
     
M Mar 25 Interval estimation.
W Mar 27 Interval estimation (continued).
F Mar 29 Problems
     
M Apr 1 Review
W Apr 3 Exam 2
F Apr 5 Regression models.
     
M Apr 8 Regression models (continued).
W Apr 10 Regression models (continued).
F Apr 12 Problems
     
M Apr 15 Analysis of qualitative data.
W Apr 17 Analysis of qualitative data (continued).
F Ap. 19 Problems
     
M Apr 22 Experimental design.
W Apr 24 Experimental design (continued).
F Apr 26 Experimental design (continued).
     
M Apr 29

Application: Signal detection theory.

W May 1 Review
F May 3 Exam 3
     
M May 6 Review
W May 8 Review
     
     

F

May 17 Final Examination