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11. Randomization Tests

  • 2024
  • OriginalPaper
  • Chapter
Published in:
Authors
Jim Albert
Maria Rizzo
Published in
R by Example
Publisher
Springer Nature Switzerland

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Abstract

Randomization tests or permutation tests provide a nonparametric approach based on statistics not requiring that the test statistics have specified distributions. A sampling distribution is obtained by resampling the data to generate a large number of test statistics under a null hypothesis. This chapter illustrates examples of the nonparametric approach including a randomization test for location, a test for correlation, and a test for independence. Permutation tests are also implemented using the boot() function from the boot package. Plots are used to illustrate the resampling distributions of the test statistics.

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previous chapter Analysis of Variance II
next chapter Multivariate Data
Title
Randomization Tests
Authors
Jim Albert
Maria Rizzo
Copyright Year
2024
Book
R by Example

Print ISBN: 978-3-031-76073-0

Electronic ISBN: 978-3-031-76074-7

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-3-031-76074-7_11
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