Statistics 541: Spring 2001

Announcements

• Here is some help on doing the white estimator in JMP.

Data

• All Myers data (unedited)
• VO2 max (ascii, CSV)
• Script: Fitting distributions other than normal
• Script: Evil least squares demo

Project data

• Lili
• Joshua
• Narahari
• Yi
• Sujie
• Helena
• Bin
• Liangyue
• Jiali
• Dean

Schedule

• Jan 16th: Box plots
• Jan 18th: Centers and transformations (handout for first three lectures)

• Jan 23th: JMP and L and M estimators
• Jan 25th: Regression introduction (Read M:1, M:2.1, 2.2, 2.3)

• Jan 30th: Confidence and prediction intervals. Assumptions. (M:2.9, M:2.12)
• Feb 1st: Checking assumptions

• Feb 6th: Introduction to multiple regression
• Feb 8th: Multiple regression: F-tests

• Feb 13th: Linear tests and colinearity.
• Feb 15th: Residuals. (read M:5)

• Feb 20th: Car data and sandwich estimator.
• Feb 22nd: Influence diagnostics

• Feb 27th: Two samples and other easy regressions
• March 1st: Risk Inflation and other variable selection methods (pass out papers)

• March 6th: Robust regressions
• March 8th: Poisson regressions

• March 20th: Logistic regression (Y is binary response)
• March 22th: More logistic regression

• March 27th: Even more logistic regression
• March 29th: Design of experiments

• Apr 3rd: Sample size calculations
• Apr 5th: Finding and displaying independence

• Apr 10th: Generalized estimating equations approach to clustering
• Apr 12th: Random effects approach to clustering

• Apr 17th: Randomization (why)
• Apr 19th: Randomization (how)

• Apr 24th: extrapolation and my bankruptcy paper
• Apr 26th: Wrapping up(last day of classes)