Applied Robust Statistics & Robust Regression & Outliers & Regression Graphics

Obtain related preprints from my home page home.html
The published book Olive, D.J. (2017), Robust Multivariate Analysis, has some of the material in this book.
A more recent online book is Olive, D.J. (2020), Robust Statistics. http://parker.ad.siu.edu/Olive/robbook.htm

Applied Robust Statistics by David Olive Preprint M-02-006 Copyright July 2002, June 2008

Course notes for robust statistics including robust regression, multivariate location and dispersion, and semiparametric 1D regression models. If you wish to contact the author, click here. The complete text is in the file robnotes.pdf. The MDATA files are for ARC.
	.PDF Version	R/Splus Programs	R/Splus Data	R Code and SAS Programs
	robnotes.pdf	rpack.txt	robdata.txt	rsashw.txt

Table of Contents	Pages	PDF	Misc MDATA Files
Preface	i-xvii	cont	animal.lsp, belg.lsp
Chapter 1-Introduction	1-23	ch1	bodfat.lsp, boston2.lsp
Chapter 2-Location Model	24-70	ch2	buxton.lsp, cbrain.lsp
Chapter 3-Useful Distributions	71-103	ch3	cyp.lsp, credit.lsp
Chapter 4-Truncated Distributions	104-130	ch4	gladstone.lsp, hbk.lsp
Chapter 5-Multiple Linear Regression	131-200	ch5	ICU.lsp, insulation.lsp, john.lsp
Chapter 6-Regression Diagnostics	201-226	ch6	lobster.lsp, lsinc.lsp
Chapter 7-Robust Regression	227-250	ch7	major.lsp, marry.lsp
Chapter 8-Robust Regression Algorithms	251-283	ch8	museum.lsp, muss.lsp
Chapter 9-Breakdown and Equivariance	284-302	ch9	naph.lsp, nasty.lsp, octane.lsp
Chapter 10-Multivariate Models	303-342	ch10	pollution.lsp, pop.lsp, popcorn.lsp
Chapter 11-CMCD Applications	343-362	ch11	pov.lsp, povc.lsp
Chapter 12-1D Regression	363-417	ch12	salinity.lsp, sinc.lsp
Chapter 13-Generalized Linear Models	418-478	ch13	skeleton.lsp, stackloss.lsp
Chapter 14-Stuff for Students	479-516	ch14	wood.lsp
Bibliography	517-571	bib

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