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Completely-Randomized Designs

Kenneth J. Berry (), Kenneth L. Kvamme, Janis E. Johnston and Paul W. Mielke, Jr.
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Kenneth J. Berry: Colorado State University, Department of Sociology
Kenneth L. Kvamme: University of Arkansas, Department of Anthropology
Paul W. Mielke, Jr.: Deceased

Chapter Chapter 8 in Permutation Statistical Methods with R, 2021, pp 357-432 from Springer

Abstract: Abstract In this chapter presents exact and Monte Carlo permutation statistical methods for multi-sample tests. Multi-sample tests are of two types: tests for experimental differences among three or more independent samples (fully- or completely-randomized designs) and tests for experimental differences among three or more dependent samples (randomized-blocks designs). Permutation statistical methods for multiple dependent samples are presented in Chap. 9 . Permutation statistical methods for multiple independent samples are presented in this chapter.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-74361-1_8

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DOI: 10.1007/978-3-030-74361-1_8

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