Testing homogeneity in a mixture of von mises distributions with a structural parameter

DOI10.1002/cjs.5550360112zbMath1143.62016OpenAlexW1985001229MaRDI QIDQ3517423

Yuejiao Fu, Jiahua Chen, Peng-Fei Li

Publication date: 12 August 2008

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cjs.5550360112

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Parametric hypothesis testing (62F03) Asymptotic properties of parametric tests (62F05)

Related Items

Bayesian inference for mixtures of von Mises distributions using reversible jump MCMC sampler, Semiparametric inference for mixtures of circular data, Testing homogeneity in contaminated mixture models, Resampling methods in ANOVA for data from the von Mises-Fisher distribution, Testing for two components in a switching regression model

Uses Software

• CircStats
• circular

Cites Work

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• A Modified Likelihood Ratio Test for Homogeneity in Finite Mixture Models
• Topics in Circular Statistics
• The likelihood ratio test for homogeneity in finite mixture models
• Likelihood Ratio Tests for a Mixture of Two von Mises Distributions
• Statistical Analysis of Circular Data
• Penalized likelihood-ratio test for finite mixture models with multinomial observations
• Directional mixture models and optimal estimation of the mixing density
• Hypothesis Testing in Mixture Regression Models
• Testing for a Finite Mixture Model with Two Components