Robust Statistics

by David Olive
        Preprint M-11-001
        Copyright August 2020

This online text, Olive, D.J. (2020) Robust Statistics, will be a major revision of the online course notes Olive, D.J. (2008), Applied Robust Statistics. This manuscript is not nearly ready. Revisions are ongoing. The .PDF version below is as of August 2020.

If you wish to contact the author, click here.

The MDATA files are for ARC.

.PDF Version R Programs, R Data, R Code
Robust Statistics.pdf rpack.txt robdata.txt robRhw.txt
Table of Contents
Pages
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-Multivariate Location and Dispersion Model 80-101   cyp.lsp, credit.lsp
Chapter 4-Multiple Linear Regression 102-136   gladstone.lsp, hbk.lsp
Chapter 5-Regression Diagnostics 137-227   ICU.lsp, insulation.lsp, john.lsp
Chapter 6-Resistance and Equivariance 228-258   lobster.lsp, lsinc.lsp
Chapter 7-Robust and Resistant Regression 259-282   major.lsp, marry.lsp
Chapter 8-Robust Regression Algorithms 283-308   museum.lsp, muss.lsp
Chapter 9-1D Regression 309-348   naph.lsp, nasty.lsp, octane.lsp
Chapter 10-GLMs and GAMs 349-403   pollution.lsp, pop.lsp, popcorn.lsp
Chapter 11-Appendix 404-428   pov.lsp, povc.lsp
Chapter 12- 429-487   salinity.lsp, sinc.lsp
Chapter 13 488-569   skeleton.lsp, stackloss.lsp
Chapter 14 570-609   wood.lsp
Bibliography 610-658    

 

 


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