Completely-Randomized Designs
Kenneth J. Berry (),
Kenneth L. Kvamme,
Janis E. Johnston and
Paul W. Mielke, Jr.
Additional contact information
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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