Robust Statistics

by David Olive
        Preprint M-11-001
        Copyright July 2011

I may submit a proposal for the text Olive, D.J. (2013) Robust Statistics. The text is a major revision of the online course notes Olive, D.J. (2008), Applied Robust Statistics. The new text covers regression, multivariate location and dispersion, and semiparametric 1D regression models.

If you wish to contact the author, click here.

The MDATA files are for ARC.

Errata R/Splus Programs, R/Splus Data, R Code and SAS Programs
errata.pdf rpack.txt robdata.txt rsashw.txt
Table of Contents
Misc MDATA Files
Preface i-vi   animal.lsp, belg.lsp
Chapter 1-Introduction 1-24   bodfat.lsp, boston2.lsp
Chapter 2-Location Model 25-79   buxton.lsp, cbrain.lsp
Chapter 3-Useful Distributions 80-101   cyp.lsp, credit.lsp
Chapter 4-Truncated Distributions 102-136   gladstone.lsp, hbk.lsp
Chapter 5-Multiple Linear Regression 137-227   ICU.lsp, insulation.lsp, john.lsp
Chapter 6-Regression Diagnostics 228-258   lobster.lsp, lsinc.lsp
Chapter 7-Resistance and Equivariance 259-282   major.lsp, marry.lsp
Chapter 8-Robust and Resistant Regression 283-308   museum.lsp, muss.lsp
Chapter 9-Robust Regression Algorithms 309-348   naph.lsp, nasty.lsp, octane.lsp
Chapter 10-Multivariate Models 349-403   pollution.lsp, pop.lsp, popcorn.lsp
Chapter 11-FCH Applications 404-428   pov.lsp, povc.lsp
Chapter 12-1D Regression 429-487   salinity.lsp, sinc.lsp
Chapter 13-GLMs and GAMs 488-569   skeleton.lsp, stackloss.lsp
Chapter 14-Stuff for Students 570-609   wood.lsp
Bibliography 610-658    



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