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This research monograph utilizes exact and Monte Carlo permutation statistical methods to generate probability values and measures of effect size for a variety of measures of association.
This book covers the birth and historical development of permutation statistical methods from the early 1920s to the present day. Using an accessible, non-mathematical approach, the book presents permutation analogs of many well-known statistical tests.
This is the second edition of the comprehensive treatment of statistical inference using permutation techniques. This updated version places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean distance functions.
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