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Further MRPP Applications

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Permutation Methods

Part of the book series: Springer Series in Statistics ((SSS))

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Abstract

MRPP is an effective procedure for analyzing data in a wide variety of contexts. The ability to vary weighting and commensuration, utilize a variety of distance functions, include an excess group, measure agreement, accommodate extreme values, and incorporate both univariate and multivariate data make MRPP a powerful and versatile analysis technique. In this chapter, additional applications of MRPP are described. Included are applications of MRPP to autoregressive patterns, two-way contingency tables, agreement measures, cyclic data, generalized runs tests, and rank-order data.

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© 2001 Springer Science+Business Media New York

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Mielke, P.W., Berry, K.J. (2001). Further MRPP Applications. In: Permutation Methods. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3449-2_3

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  • DOI: https://doi.org/10.1007/978-1-4757-3449-2_3

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4757-3451-5

  • Online ISBN: 978-1-4757-3449-2

  • eBook Packages: Springer Book Archive

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