Mixture Models in View of Evidential Analysis

DOI10.1080/03610918.2012.677923zbMath1301.62055OpenAlexW2051453602MaRDI QIDQ5299925

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Publication date: 24 June 2013

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

Full work available at URL: https://doi.org/10.1080/03610918.2012.677923

zbMATH Keywords

penalty termstatistical evidencemodified likelihood ratiofinite mixture distributionstrong misleading evidence

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Hypothesis testing in multivariate analysis (62H15)

Related Items (1)

Evidential inference for diffusion-type processes

Cites Work

• Comparison of record data and random observations based on statistical evidence
• Tests for normal mixtures based on the empirical characteristic function
• Evidential inference based on record data and inter-record times
• Modified likelihood ratio test in finite mixture models with a structural parameter
• A Modified Likelihood Ratio Test for Homogeneity in Finite Mixture Models
• A comparison of the mixture and classification approaches to cluster analysis
• Maximum likelihood estimates of the parameters of a mixture of two regression lines
• A use of mixtures of two normal distributions in a classification problem
• The efficiency of a linear discriminant function based on unclassified initial samples
• Penalized likelihood-ratio test for finite mixture models with multinomial observations
• A TEST OF GOODNESS OF FIT FOR SYMMETRIC RANDOM VARIABLES¹
• Estimation in Univariate and Multivariate Stable Distributions

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