Testing for Heterogeneity with Categorical Data: Permutation Solution vs. Bootstrap Method

DOI10.1080/03610926.2013.799376zbMath1462.62262OpenAlexW1965856025MaRDI QIDQ5419335

Stefano Bonnini

Publication date: 6 June 2014

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2013.799376

zbMATH Keywords

bootstrapheterogeneitypermutation testcategorical variables

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Nonparametric statistical resampling methods (62G09)

Related Items (9)

Power analysis of independence testing for three-way contingency tables of small sizes ⋮ Nonparametric Test on Process Capability ⋮ Some contributions to practice of 2 × 2 contingency tables ⋮ Multivariate Fay-Herriot models for small area estimation with application to household consumption per capita expenditure in Indonesia ⋮ Permutation testing for goodness-of-fit and stochastic ordering with multivariate mixed variables ⋮ Smoothed ranks for two or multi-sample location problems ⋮ Bootstrap- and permutation-based inference for the Mann-Whitney effect for right-censored and tied data ⋮ Logarithmic minimum test for independence in three-way contingency table of small sizes ⋮ A non-parametric statistic for testing conditional heteroscedasticity for unobserved component models

Cites Work

• Unnamed Item
• A Mathematical Theory of Communication
• Diversity and dissimilarity coefficients: A unified approach
• Nonparametric Statistics with Applications to Science and Engineering

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