Resampling methods in ANOVA for data from the von Mises-Fisher distribution

DOI10.1080/03610918.2021.1976796OpenAlexW3203445489MaRDI QIDQ6181849

Adelaide Maria Sousa Figueiredo

Publication date: 23 January 2024

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2021.1976796

zbMATH Keywords

bootstrapsimulationMonte Carlo methodsdirectional datahyperspherepermutation test

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Permutation tests for directional data
• Bootstrap methods: another look at the jackknife
• Bootstrap and permutation tests in ANOVA for directional data
• Efficient ANOVA for directional data
• ON THE CONSTRUCTION OF SIGNIFICANCE TESTS ON THE CIRCLE AND THE SPHERE
• Testing homogeneity in a mixture of von mises distributions with a structural parameter
• Model-based clustering on the unit sphere with an illustration using gene expression profiles
• Discriminant Analysis for the von Mises-Fisher Distribution
• Statistical Analysis of Spherical Data
• A Bimodal Distribution on the Sphere
• Improved Pivotal Methods for Constructing Confidence Regions With Directional Data
• Applied Directional Statistics
• Simulation of the von mises fisher distribution
• Pivotal Bootstrap Methods fork-Sample Problems in Directional Statistics and Shape Analysis
• An improved test of equality of mean directions for the Langevin‐von Mises‐Fisher distribution
• Multi-sample tests for the Fisher distribution for directions
• Multisample Tests for the von Mises Distribution