Abstract
The analysis of data obtained from balanced randomized block designs is an important part of experimental research. In this chapter, permutation versions of univariate and multivariate balanced randomized block analyses, based on Euclidean distances, are presented. Methods for obtaining exact and approximate resampling and Pearson type III P-values are described. Rank and binary transformations for randomized block designs are discussed, and power comparisons are provided for a variety of univariate rank tests. A measure of agreement based on randomized blocks is developed and extended to various levels of measurement, multiple observers, and multivariate analyses.
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© 2001 Springer Science+Business Media New York
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Mielke, P.W., Berry, K.J. (2001). Description of MRBP. In: Permutation Methods. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3449-2_4
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DOI: https://doi.org/10.1007/978-1-4757-3449-2_4
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-3451-5
Online ISBN: 978-1-4757-3449-2
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