Completely Randomized Data

Kenneth J. Berry, Paul W. Mielke and Janis E. Johnston
Additional contact information
Kenneth J. Berry: Colorado State University, Department of Sociology
Paul W. Mielke: Colorado State University, Department of Statistics
Janis E. Johnston: U.S. Government

Chapter 2 in Permutation Statistical Methods, 2016, pp 29-55 from Springer

Abstract: Abstract Chapter 2 introduces a generalized Minkowski distance function that is the basis for a set of multi-response permutation procedures for univariate and multivariate completely randomized data. Multi-response permutation procedures constitute a class of permutation methods for one or more response measurements that are designed to distinguish possible differences among two or more groups. The multi-response permutation procedures provide a synthesizing foundation for a variety of statistical tests and measures developed in successive chapters.

Keywords: Distance Function; Exact Probability; Distinct Pair; Permutation Method; MRPP Analysis (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-3-319-28770-6_2

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