Permutation methods : a distance function approach

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WordPress Shortcode. Full Name Comment goes here. Are you sure you want to Yes No. Hardcover , pages. Published July 1st by Springer first published July 20th More Details Original Title.

Permutation Based Inference - Lunneborg - - Major Reference Works - Wiley Online Library

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All Languages. Type I error controlled regression analyses, including both prediction and linear models, are delineated. Because the regression analyses are based on a metric Euclidean distance function, special attention is paid to least sum of absolute deviations LAD regression. Recently developed goodness-of-fit tests, measures of agreement, multidimensional contingency table tests, and multisample univariate permutation methods are discussed and compared.

The level of this monograph is that of upper division undergraduate and beginning graduate students.

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The text by Mielke and Berry presents a good and accessible account of the subject to date with emphasis on the applications made easy with the developed software. It is recommended for use by graduate students and practitioners having a broad knowledge of the statistical literature. The material in the book is easily accessible to upper-division undergraduates and beginning graduates.

Permutation Methods: A Distance Function Approach is a welcome addition to the literature on permutation tests, and the computer package available with it is an added attractive feature.

The focus is not on elaborating a mathematical theory in a theorem-proof framework. Most of the issues are illustrated by real data examples. JavaScript is currently disabled, this site works much better if you enable JavaScript in your browser. admin