Theory for Linear Models

Theory for Linear Models by David Olive Preprint M-02-006 Copyright July 2018, Jan. 2022

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. 2023. 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	1-69	ch1	boston2.lsp
Chapter 2-Full Rank Linear Models	71-112	ch2	buxton.lsp, cbrain.lsp
Chapter 3-Nonfull Rank Linear Models and Cell Means Model	113-132	ch3	credit.lsp, cyp.lsp
Chapter 4-Prediction and Variable Selection When n >> p	131-202	ch4	gladstone.lsp, hbk.lsp
Chapter 5-Statistical Learning Alternatives to OLS	203-264	ch5	ICU.lsp
Chapter 6-What If n is not >> p?	265-269	ch6	major.lsp
Chapter 7-Robust Regression	271-351	ch7	marry.lsp, mbb1415
Chapter 8-Multivariate Linear Regression	353-398	ch8	museum.lsp, muss.lsp, nasty.lsp
Chapter 9-One Way MANOVA Type Models	399-416	ch9	pollution.lsp
Chapter 10-1D Regression	417-495	ch10	pov.lsp, povc.lsp
Chapter 11-Stuff for Students	497-512	ch11	skeleton.lsp, wood.lsp
Bibliography	513-541	bib

Comments: Webmaster