Robust Statistics

Robust Statistics by David Olive Preprint M-11-001 Copyright Aug. 2020, Jan. 2022

This online text, Olive, D.J. (2020) Robust Statistics, is a major revision of the online course notes Olive, D.J. (2008), Applied Robust Statistics. This manuscript is not really ready. Revisions are ongoing. The .PDF version below is as of Jan. 2023. If you wish to contact the author, click here. The complete text is in the file runrob.pdf. 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	PDF	Misc MDATA Files
Preface	i-xvii	robcont	animal.lsp, belg.lsp
Chapter 1-Introduction	1-18	robch1	bodfat.lsp, boston2.lsp
Chapter 2-Location Model	19-84	robch2	buxton.lsp, cbrain.lsp
Chapter 3-Multivariate Location and Dispersion Model	85-164	robch3	cyp.lsp, credit.lsp
Chapter 4-Prediction Regions and Bootstrap Confidence Regions	165-190	robch4	gladstone.lsp, hbk.lsp
Chapter 5- Multiple Linear Regression	191-256	robch5	ICU.lsp, insulation.lsp, john.lsp
Chapter 6-Robust and Resistant Regression	257-284	robch6	lobster.lsp, lsinc.lsp
Chapter 7-MLR Variable Selection and Lasso	285-362	robch7	major.lsp, marry.lsp
Chapter 8-AER and Time Series	363-370	robch8	museum.lsp, muss.lsp
Chapter 9-1D Regression	371-416	robch9	naph.lsp, nasty.lsp, octane.lsp
Chapter 10-GLMs and GAMs	417-476	robch10	pollution.lsp, pop.lsp, popcorn.lsp
Chapter 11-Appendix	477-544	robch11	pov.lsp, povc.lsp
Chapter 12	-	robch12	salinity.lsp, sinc.lsp
Chapter 13	-	robch13	skeleton.lsp, stackloss.lsp
Chapter 14	-	robch14	wood.lsp
Bibliography	545-581	robbib

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