Customer Reviews

Beyond Anova, Basics of Applied Statistics (Wiley Series in Probability and Statistics)

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This text was original published in the early 1980s. It was the outgrowth of the lecture notes that Rupert produced and I ahd the priviledge of taking the two quarter course in Applied Statistics from Rupert Miller. Our course that Rupert taught so brilliantly to students before during and after my years at Stanford was originally published by Wiley and should have become one of the books in the Wiley Classic Series as his Survival Analysis book became. The book has been overlooked and underrated. Nevertheless I consider it to still be the best introductory graduate level text on linear models. It is especially noteworthy for its great organizational style and clarity. Miller gets to the heart of the methods and their applications and for each case he looks carefully at the modelling assumptions and what the effect of violations to normality and variance homogeneity have on the analysis. He also presents the alternative techniques to use when the results are heavily affected by assumption violations. I often go back to this book as a reference and I am glad that Chapman and Hall/CRC had the wisdom to reprint this text so that a new genration of statisticians can benefit from it and use it in their professional life.

I am a Ph.D. student in operations research. This book was required for a graduate level statistics course. This book is difficult to understand. It is written more like a thesis than a text book. It is full of references like "For further discussion see Wilk and Gnanadesikan." In order to glean the subtleties from this text you must already be an expert on the material presented. If you are an expert in statistical analysis who seeks another perspective on how to analyze a set of data, then this might be your book. If you are a student, then this book will likely be useless. It was for me.