What question did this study set out to answer?

To explain the theoretical principles of permutation methods and establish the specific conditions under which they provide exact, distribution-free statistical inference.

November 1, 2004Statistical ScienceOpen Access

Permutation Methods: A Basis for Exact Inference

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MEMichael D. ErnstSprint (United States)

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Implication

Methodological review demonstrates the feasibility of permutation methods for exact inference across modern computing environments, highlighting their utility in distribution-free testing.

Key Points

To explain the theoretical principles of permutation methods and establish the specific conditions under which they provide exact, distribution-free statistical inference.
Reviewed the foundational framework of permutation tests originally established by Fisher in 1935.
Demonstrated practical applications and computational execution across several illustrative examples.
Permutation tests yield exact significance values without requiring restrictive distributional assumptions about population data.
Increases in computing power eliminate historical computational barriers, enabling broad practical use across diverse data analysis settings.

Cite This Study

Michael D. Ernst (2004) studied this question.

synapsesocial.com/papers/69dc37331eeef32283c0faed https://doi.org/10.1214/088342304000000396

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Implication

Methodological review demonstrates the feasibility of permutation methods for exact inference across modern computing environments, highlighting their utility in distribution-free testing.

Permutation Methods: A Basis for Exact Inference

Discussion

Member takes

Implication

Key Points

Cite This Study

Permutation Methods: A Basis for Exact Inference

Discussion

Member takes

Implication

Key Points

Cite This Study

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