Likelihood ratio tests based on subglobal optimization: A power comparison in exponential mixture models

DOI10.1007/BF02925678zbMath0941.62021OpenAlexW2007224427MaRDI QIDQ1961770

Manfred Alker, Karl C. Mosler, Seidel, Wilfried

Publication date: 30 January 2000

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02925678

zbMATH Keywords

EM algorithmlikelihood ratio testmaximum likelihoodhomogeneity testsmixtures of exponentials

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03)

Related Items

Large and moderate deviations in testing Rayleigh diffusion model ⋮ The REBMIX Algorithm and the Univariate Finite Mixture Estimation ⋮ Choosing initial values for the EM algorithm for finite mixtures ⋮ Theoretical analysis of power in a two-component normal mixture model ⋮ Sequential test for a mixture of finite exponential distribution ⋮ Order selection in finite mixtures of linear regressions ⋮ Testing the number of components of the mixture of two inverse Weibull distributions ⋮ Homogeneity testing in a Weibull mixture model ⋮ Types of likelihood maxima in mixture models and their implication on the performance of tests

Cites Work

• Mixtures of exponential distributions
• The distribution of the likelihood ratio for mixtures of densities from the one-parameter exponential family
• The estimation of the order of a mixture model
• Testing in locally conic models, and application to mixture models
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