Permutation Methods: A Distance Function Approach (Springer Series in Statistics),Used

Permutation Methods: A Distance Function Approach (Springer Series in Statistics),Used

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Most commonlyused parametric and permutation statistical tests, such as the matchedpairs t test and analysis of variance, are based on nonmetric squared distance functions that have very poor robustness characteristics. This second edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean distance functions that have excellent robustness characteristics. These alternative permutation techniques provide many powerful multivariate tests including multivariate multiple regression analyses. In addition to permutation techniques described in the first edition, this second edition also contains various new permutation statistical methods and studies that include resampling multiple contingency table analyses, analysis concerns involving loglinear models with small samples, an exact discrete analog of Fishers continuous method for combining Pvalues that arise from small data sets, multiple dichotomous response analyses, problems regarding Fishers Z transformation for correlation analyses, and multivariate similarity comparisons between corresponding multiple categories of two samples.

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