This is the second edition of the comprehensive treatment of
statistical inference using permutation techniques. It makes
available to practitioners a variety of useful and powerful data
analytic tools that rely on very few distributional assumptions.
Although many of these procedures have appeared in journal
articles, they are not readily available to practitioners. This new
and updated 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.
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