[share_ebook] Permutation Methods: A Distance Function Approach

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Univariate and multivariate permutation methods are presented that provide exact probability values and approximate probability values based on resampling and moment techniques. Metric Euclidean distance functions are emphasized, in contrast to the nonmetric squared Euclidean distance functions common to statistical tests that rely on the assumption of normality. Permutation methods based on Euclidean distance yield powerful robust statistics for the detection of phenomena such as cyclic, autoregressive, and overly regular patterns, multiple clumping, and directional shifts of correlated data...

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