Beyond ANOVA: Basics of Applied Statistics Rupert G. Miller Jr.

ISBN:

Published: January 1st 1997

Kindle Edition

336 pages


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Beyond ANOVA: Basics of Applied Statistics  by  Rupert G. Miller Jr.

Beyond ANOVA: Basics of Applied Statistics by Rupert G. Miller Jr.
January 1st 1997 | Kindle Edition | PDF, EPUB, FB2, DjVu, AUDIO, mp3, ZIP | 336 pages | ISBN: | 6.35 Mb

Renowned statistician R.G. Miller set the pace for statistics students with Beyond ANOVA: Basics of Applied Statistics. Designed to show students how to work with a set of real world data, Millers text goes beyond any specific discipline, andMoreRenowned statistician R.G. Miller set the pace for statistics students with Beyond ANOVA: Basics of Applied Statistics. Designed to show students how to work with a set of real world data, Millers text goes beyond any specific discipline, and considers a whole variety of techniques from ANOVA to empirical Bayes methods- the jackknife, bootstrap methods- and the James-Stein estimator.This reissue of Millers classic book has been revised by professors at Stanford University, California.

As before, one of the main strengths of Beyond ANOVA is its promotion of the use of the most straightforward data analysis methods-giving students a viable option, instead of resorting to complicated and unnecessary tests.Assuming a basic background in statistics, Beyond ANOVA is written for undergraduates and graduate statistics students. Its approach will also be valued by biologists, social scientists, engineers, and anyone who may wish to handle their own data analysis.



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