Robust Statistics

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

I plan to submit the text Olive, D.J. (2013) Robust Statistics for publication soon. 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	Pages	Misc MDATA Files
Preface	i-xvii	animal.lsp, belg.lsp
Chapter 1-Introduction	1-24	bodfat.lsp, boston2.lsp
Chapter 2-Location Model	25-78	buxton.lsp, cbrain.lsp
Chapter 3-Useful Distributions	79-111	cyp.lsp, credit.lsp
Chapter 4-Truncated Distributions	112-140	gladstone.lsp, hbk.lsp
Chapter 5-Multiple Linear Regression	141-230	ICU.lsp, insulation.lsp, john.lsp
Chapter 6-Regression Diagnostics	231-261	lobster.lsp, lsinc.lsp
Chapter 7-Resistance and Equivariance	262-284	major.lsp, marry.lsp
Chapter 8-Robust and Resistant Regression	285-310	museum.lsp, muss.lsp
Chapter 9-Robust Regression Algorithms	311-350	naph.lsp, nasty.lsp, octane.lsp
Chapter 10-Multivariate Models	351-400	pollution.lsp, pop.lsp, popcorn.lsp
Chapter 11-FCH Applications	401-425	pov.lsp, povc.lsp
Chapter 12-1D Regression	426-483	salinity.lsp, sinc.lsp
Chapter 13-GLMs and GAMs	484-562	skeleton.lsp
Chapter 14-Survival Regression	563-631	stackloss.lsp
Chapter 15-Stuff for Students	632-670	wood.lsp
Bibliography	671-733

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