exst7034

Welcome to the EXST7034 Home Web Page - Fall 2005

Textbook is: Kutner, M. H., Nachtsheim, C. J., J. Neter and William Li, Applied Linear Statistical Models, 5^th Edition, Richard D. Irwin, Inc., Burr Ridge, Illinois, 2005.

Textbook was: Neter, J., Kutner, M. H., Nachtsheim, C. J., and Wasserman, W., Applied Linear Statistical Models, 4^th Edition, Richard D. Irwin, Inc., Burr Ridge, Illinois, 1996.

Handouts

· Course Syllabus

· Handout 1 - Review of Simple Linear Regression

· Matrix Algebra Handout

· Chapter 3 handout

· LOF for Vial Example

· Proc IML example   & Sweepout Example (PDF)

· Multiple Regression Introduction (a)

· Multiple Regression Introduction (b)

· Multiple Regression Introduction (c)

· Polynomial Regression

· Model Building

· Observation Diagnostics

· Simple Bootstrap

· Bootstrap, Ridge & Robust Regression

· Robust Regression Program    HTML Version

· Analysis of Covariance and Piecewise Regression    Old HTML form

· Time series models    Microcomputer example

· Autoregressive models and Proc MIXED

· Logistic Regression Examples    Diagnostics    HTML output with iplots

· Nonlinear Regression

· Random Coefficients Models.PDF

·

Notes segments

· 01 Numeric example

· 02 Properties of the fitted line

· 03 Power example (chart)

· 04a Variance Estimates

· 04b EMS for regression

· 05 Linear combinations

· 06 GLHT

· 07 Properties of RSquare

· 08 Diagnostics 1

· 09 LOF

· 10 Transformations

· 11 Joint CI

· 12 Regression through the origin

· 13 Measurement error in X

· 14 Some Matrix calculations for Multiple regression

· 15 Multiple Regression Intro

· 16 Chapt 7 miscellaneous

· 17 Polynomials

· 18 Model Building

· 19 Observation diagnostics

· 20 Multicollinearity

· 21 Robust Regression

· 22 Indicator variables

· 23 Autocorrelation and Time Series

· 24 Logistic Regression (a)

Logistic 1

Logistic 2

Logistic 3

Logistic 4

GLIMMIX

· 24 Logistic Regression (b) &Freelance file

· 25 Nonlinear Regression

· 26 Random Coefficients Models