Theory for Linear Models

by David Olive
        Preprint M-02-006
        Copyright July 2018

1st draft of course notes for Theory for Linear Models. This manuscript is unfinished. Revisions are ongoing. The .PDF version below is as of Jan. 2019.

If you wish to contact the author, click here.

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

.PDF Version R Programs R Data R Code
linmodnotes.pdf linmodpack.txt linmoddata.txt linmodrhw.txt
Table of Contents
Pages
PDF
Misc MDATA Files
Preface i-xii   cont bodfat.lsp
Chapter 1-Introduction 1-10   ch1 boston2.lsp
Chapter 2-Full Rank Linear Models 11-31   ch2 buxton.lsp, cbrain.lsp
Chapter 3-Nonfull Rank Linear Models and Cell Means Model 32-71   ch3 credit.lsp, cyp.lsp
Chapter 4-Variable Selection When n >> p 72-116   ch4 gladstone.lsp, gladstone.lsp, hbk.lsp
Chapter 5-Statistical Learning Alternatives to OLS 117-137   ch5 ICU.lsp
Chapter 6-What If n is not >> p? 138-164   ch6 major.lsp
Chapter 7-Robust Regression 165-177   ch7 marry.lsp, mbb1415
Chapter 8-Multivariate Linear Regression 178-198   ch8 museum.lsp, muss.lsp, nasty.lsp
Chapter 9-One Way MANOVA Type Models 213-245   ch9 pollution.lsp
Chapter 10-1D Regression 199-212   ch10 pov.lsp, povc.lsp
Chapter 11-Stuff for Students 213-245   ch11 skeleton.lsp, wood.lsp
Bibliography 358-380   bib

 

 


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