Large Sample Theory

Large Sample Theory by David Olive Preprint M-02-006 Copyright Jan. 2022

1st draft of course notes for Large Sample Theory. This manuscript is unfinished. Revisions are ongoing. Not even close to being ready yet. 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 lsampbk.pdf. The MDATA files are for ARC.
	.PDF Version	R Programs	R Data	R Code
	lsampbk.pdf	lspack.txt	lsdata.txt	lsrhw.txt

Table of Contents	Pages	PDF	Misc MDATA Files
Preface	i-x	cont	bodfat.lsp
Chapter 1-Introduction	1-48	ch1	boston2.lsp
Chapter 2-Univariate Limit Theorems	49-84	ch2	buxton.lsp, cbrain.lsp
Chapter 3-Multivariate Limit Theorems	85-96	ch3	credit.lsp, cyp.lsp
Chapter 4-Prediction Intervals and Prediction Regions	97--112	ch4	gladstone.lsp
Chapter 5-Confidence Regions and the Bootstrap	113-148	ch5	ICU.lsp
Chapter 6-Regression: GLMs, GAMs, and Statistical Learning	149-210	ch6	major.lsp
Chapter 7-Experimental Design and One Way MANOVA	211-211	ch7	marry.lsp, mbb1415
Chapter 8-Robust Statistics	213-284	ch8	museum.lsp, muss.lsp
Chapter 9-Time Series	285-285	ch9
Chapter 10-Graphical Diagnostics	287-300	ch10
Chapter 11-More Results	301-326	ch11
Bibliography-	327-332	bib
data-	NA-NA	ch12	pollution.lsp
data-	NA-NA	ch13	pov.lsp, povc.lsp
data-	NA-NA	ch14
data-	NA-NA	ch15	skeleton.lsp
data-	NA-NA	ch16	wbb1415
data	NA-NA	ch17

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