A Comparison of Efficient Permutation Tests for Unbalanced ANOVA in Two by Two Designs and Their Behavior Under Heteroscedasticity
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Publication:5261311
DOI10.1007/978-1-4939-2104-1_25zbMath1321.62102arXiv1309.7781OpenAlexW1829477336MaRDI QIDQ5261311
Sonja Hahn, Luigi Salmaso, Frank Konietschke
Publication date: 3 July 2015
Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1309.7781
Parametric hypothesis testing (62F03) Factorial statistical designs (62K15) Analysis of variance and covariance (ANOVA) (62J10)
Related Items (2)
A comparison of recent nonparametric methods for testing effects in two-by-two factorial designs ⋮ Comparison of nonparametric analysis of variance methods: A vote for van der Waerden
Cites Work
- Studentized permutation tests for non-i.i.d. hypotheses and the generalized Behrens-Fisher problem
- An exact permutation method for testing any effect in balanced and unbalanced fixed effect ANOVA
- A comparison of different synchronized permutation approaches to testing effects in two-level two-factor unbalanced ANOVA designs
- Bootstrapping and permuting paired \(t\)-test type statistics
- Permutation tests for stochastic ordering and ANOVA. Theory and applications with \(\mathtt R\)
- How do bootstrap and permutation tests work?
- A Studentized permutation test for the nonparametric Behrens-Fisher problem in paired data
- Box-Type Approximations in Nonparametric Factorial Designs
- Synchronized Permutation Tests in 2kFactorial Designs
- On the Weak Consistency of Permutation Tests
- Analysis of unbalanced factorial designs with heteroscedastic data
- Asymptotic Permutation Tests in General Factorial Designs
- A Critical Review and a Comparative Study on Conditional Permutation Tests for Two-Way ANOVA
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