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Nonparametrics: Statistical Methods Based on Ranks, by Erich L. Lehmann
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Rank tests are a class of statistical procedures that combine great simplicity with surprising power. This reprint of a classic reference book offers a thorough description of these tests and the estimating procedures derived from them, and gives an account of their properties. Although the field of rank tests has seen little change, important new methodologies have sprung up that also serve the purpose of freeing statistics from the unrealistic model assumptions that so frequently invalidate its applications. All the tests discussed here are now available in a variety of statistical software packages.
- Sales Rank: #1241836 in Books
- Published on: 2006-07-27
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x 1.09" w x 6.00" l, 1.47 pounds
- Binding: Paperback
- 464 pages
Most helpful customer reviews
31 of 31 people found the following review helpful.
original was great , I don't know what this revision adds
By Michael R. Chernick
I agree with the other reviewer that this text is a classical by Erich Lehmann. It is great that this book which has been out of print for many years is back in print with a new publisher. There is a lot of wisdom conveyed in this book along with very useful nonparametric methods that stand the test of time. I cannot comment on the publication quality of the reprinted edition as I still have (in excellent condition) my copy of the original 1975 publication that was published by Holden-Day.
Lehmann always writes eloquently and his treatment is always authoritative and accurate. However, most of his texts are advanced theoretical books for graduate students in statistics. This one is very different. As he says in his preface, "The purpose of this book is to provide an introduction to nonparametric methods for the analysis and planning of comparative studies." As such he has written it for practitioners. It is filled with illustrative examples of the techniques and intuitive descriptions. There is some mathematics and many exercises at the end of the chapters, but it is intended as a reference text as well as a text for an introductory course. He is very successful in this endeavor.
I have found it very useful over the years and still use it as a reference. In fact, I am sometimes asked as a consultant what procedures are available to test for trends in data. When a nonparametric approach appears warranted, I often refer them to Chapter 7 in this book. It gives a wonderful treatment of tests for independence and provides insight into the tests that are powerful against the alternative hypothesis of a trend over time.
17 of 20 people found the following review helpful.
A classic printed and binded like a ... cheap novel
By H. G. Sung
This absolute classic is out of print for decades. I was so excited that Prentice Hall reprinted it in 1998 in paperback. It is disturbing that the publisher treated it like a ... cheap novel. This paperback is binded and printed in the worst quality possible that it [may] fall apart in two weeks.
3 of 4 people found the following review helpful.
Nonparametrics :statistical methods based on ranks
By Ricardo C. Martini
A book written by "the master" Erich Leo Lehmann ....all the rationale of tests exceptional well explained....all the calculus done....¿what else??
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