Multiple Linear and 1D Regression

by David Olive
        Preprint M-02-006
        Copyright August 2006, Jan 2010

I am writing course notes for multiple linear and 1D regression, and this the first draft. This manuscript is unfinished. Revisions are ongoing. The .PDF version below is as of Jan 2010.

If you wish to contact the author, click here.

The complete text is in the file regnotes.pdf. The MDATA files are for ARC.

.PDF Version R/Splus Programs R/Splus Data R Code and SAS Programs
regnotes.pdf regpack.txt regdata.txt reghw.txt
,
Table of Contents
Pages
PDF
Misc MDATA Files
Preface i-xii   cont animal.lsp, belg.lsp
Chapter 1-Introduction 1-27   ch1 bodfat.lsp, boston2.lsp, c12.lsp
Chapter 2-Multiple Linear Regression 28-101   ch2 buxton.lsp, cement.lsp, cbrain.lsp
Chapter 3-Building an MLR Model 102-180   ch3 credit.lsp, cyp.lsp
Chapter 4-WLS and Generalized Least Squares 181-193   ch4 gladstone.lsp, hbk.lsp, ICU.lsp,
Chapter 5-One Way ANOVA 194-233   ch5 insulation.lsp, john.lsp
Chapter 6-K Way ANOVA 234-247   ch6 lobster.lsp
Chapter 7-Block Designs 248-266   ch7 lsinc.lsp
Chapter 8-Orthogonal Designs 267-310   ch8 major.lsp
Chapter 9-More on Experimental Designs 311-328   ch9 marry.lsp
Chapter 10-Logistic Regression 329-374   ch10 museum.lsp, muss.lsp
Chapter 11-Poisson Regression 375-400   ch11 naph.lsp, nasty.lsp
Chapter 12-Generalized Linear Models 401-415   ch12 octane.lsp, pollution.lsp
Chapter 13-Least Squares Theory 416-418   ch13 pop.lsp, popcorn.lsp
Chapter 14-Multivariate Analysis 419-432   ch14 pov.lsp, povc.lsp
Chapter 15-1D Regression 433-480   ch15 salinity.lsp
Chapter 16-Survival Analysis 481-574   ch16 sat.lsp, sinc.lsp
Chapter 17-Stuff for Students 575-592   ch17 wood.lsp
Bibliography 593-628   bib  

 

 


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