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
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