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
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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