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Introduction to the Theory of Nonparametric Statistics (Wiley Series in Probability and Mathematical Statistics), by Paul R. Thie
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An intermediate text that provides a basic understanding of concepts and theory, presenting important mathematical statistics tools fundamental to the development of nonparametric statistics. Uses an intuitive approach emphasizing techniques for making a test distribution-free (such as counting and ranking). U-statistics, asymptotic efficiency, the Hodges-Lehmann technique for creating a confidence interval and a point estimator from a test, linear rank statistics, and more. Also includes currently developing areas. Readers are required to be familiar with the basic concepts of statistical inference and have a good knowledge of advanced calculus.
- Sales Rank: #3339240 in Books
- Published on: 1979-08-03
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Binding: Hardcover
- 450 pages
Most helpful customer reviews
34 of 34 people found the following review helpful.
Randles and Hollander present the basic theory eloquently
By Michael R. Chernick
Just as Hollander and Wolfe's text has become the best known and most widely used texts for a first course in the basics of nonparametric statistics, so too have this text by Randles and Hollander become one of the best texts on the statistical theory of most of the basic techniques.
0 of 2 people found the following review helpful.
I bought the wrong book
By Jonathan Clancy
this book would be great for someone with a mathematical kind of mind; i just want the basics of nonparametric stats.
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