Name: The statistical sleuth
ISBN: 9780534386702

maydOct 2023

A good introductory book is this one: "The Statistical Sleuth. A Course in Methods of Data Analysis" (3rd Edition) by Fred Ramsey and Daniel Schafer <http://www.statisticalsleuth.com/>.

Another good book at a more advanced level is this one: "Regression and Other Stories" by Andrew Gelman and Jennifer Hill <http://www.stat.columbia.edu/~gelman/arm/>.

Another good book at an even more advanced level is this one: "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill <http://www.stat.columbia.edu/~gelman/arm/>.

These books are all very polished productions. What make makes them special is that they emphasis teaching the statistical way of thinking.

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earlNov 2010

Yeah, but R is all caught up in a stats education -- and I think that's much harder to cover in a single book. Just my .02.

If people are looking for a broad overview of statistical stuff -- what's a t test, a sampling distribution, a regression, anova, variance, glm family, etc, I'd recommend this unfortunately very expensive book: http://www.amazon.com/Statistical-Sleuth-Course-Methods-Anal...

It's very applied with subject oriented chapters, eg what is regression? What about regression where my dep var is counts? A probability? With correlations in the design matrix? It's not perfect, but for self learning of stats, it's the best thing I know of.

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x0x0Apr 2015

basic level, very approachable, filled with case studies (and with R code to run them easily found), but stupidly expensive: _statistical sleuth_ by ramsey (but, you know, pdfs can be found on the internets)

intermediate level, covers some blocking IIRC: _Statistics for Experimenters_ by Box et al

advanced: I thought quite good, but classmates did not universally love. Unfortunately does not come with case studies or R code to run them; I have a bunch but (very unfortunately) printed instead of computerized and, in any case, probably copyrighted by my professors. _Experiments: Planning, Analysis, Operation_ by Wu and Hamada. The math is not complex but can be involved for various types of blocking designs.

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