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Permutation Statistical Methods

In: A Primer of Permutation Statistical Methods

Author

Listed:
  • Kenneth J. Berry

    (Colorado State University, Department of Sociology)

  • Janis E. Johnston

    (Alexandria)

  • Paul W. Mielke Jr.

    (Colorado State University, Department of Statistics)

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.

Suggested Citation

  • Kenneth J. Berry & Janis E. Johnston & Paul W. Mielke Jr., 2019. "Permutation Statistical Methods," Springer Books, in: A Primer of Permutation Statistical Methods, chapter 0, pages 57-82, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-20933-9_3
    DOI: 10.1007/978-3-030-20933-9_3
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