- Paperback: 480 pages
- Publisher: Springer; 1st ed. 1975. Revised edition 2006 edition (July 27, 2006)
- Language: English
- ISBN-10: 0387352120
- ISBN-13: 978-0387352121
- Product Dimensions: 6 x 1.1 x 9 inches
- Shipping Weight: 1.8 pounds (View shipping rates and policies)
- Customer Reviews:
- Amazon Best Sellers Rank: #645,240 in Books (See Top 100 in Books)
Nonparametrics: Statistical Methods Based on Ranks 1st ed. 1975. Revised edition 2006 Edition
Use the Amazon App to scan ISBNs and compare prices.
Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.
To get the free app, enter your mobile phone number.
Customers who viewed this item also viewed these digital items
There was a problem filtering reviews right now. Please try again later.
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.