Permutation Statistical Methods

Kenneth J. Berry, Janis E. Johnston and Paul W. Mielke
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Kenneth J. Berry: Colorado State University, Department of Sociology
Janis E. Johnston: Alexandria
Paul W. Mielke: Colorado State University, Department of Statistics

Chapter Chapter 3 in A Primer of Permutation Statistical Methods, 2019, pp 57-82 from Springer

Abstract: Abstract This chapter presents two models of statistical inference: the conventional Neyman–Pearson population model that is taught in every introductory course and the Fisher–Pitman permutation model with which the reader is assumed to unfamiliar. The Fisher–Pitman model consists of three different permutation methods: exact permutation methods, Monte Carlo permutation methods, and moment-approximation permutation methods. The three methods are described and illustrated with example analyses.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-20933-9_3

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DOI: 10.1007/978-3-030-20933-9_3

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