Hypothesis testing for finite mixture models

DOI10.1016/j.csda.2018.05.005OpenAlexW2804424323MaRDI QIDQ158415

Guangren Yang, Supawadee Wichitchan, Weixin Yao, Weixin Yao, Supawadee Wichitchan, Guangren Yang

Publication date: April 2019

Published in: Computational Statistics & Data Analysis, Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2018.05.005

zbMATH Keywords

model selectionhypothesis testinggoodness of fit testmixture modelsnumber of components

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Asymptotic distribution theory in statistics (62E20) Parametric hypothesis testing (62F03) Asymptotic properties of parametric tests (62F05)

Related Items (3)

A new class of multivariate goodness of fit tests for multivariate normal mixtures ⋮ Editorial for the 4th special issue on advances in mixture models ⋮ Statistical inference for normal mixtures with unknown number of components

Cites Work

• A profile likelihood method for normal mixture with unequal variance
• Hypothesis test for normal mixture models: the EM approach
• A constrained formulation of maximum-likelihood estimation for normal mixture distributions
• Asymptotics for likelihood ratio tests under loss of identifiability
• Testing the order of a model using locally conic parametrization: Population mixtures and stationary ARMA processes
• Modified likelihood ratio test in finite mixture models with a structural parameter
• Inference on the Order of a Normal Mixture
• Hypothesis Testing in Mixture Regression Models
• Testing the Order of a Finite Mixture
• Inference for Subgroup Analysis With a Structured Logistic-Normal Mixture Model
• Testing the Number of Components in Normal Mixture Regression Models
• Goodness-of-fit tests on a circle
• Asymptotic Theory of Certain "Goodness of Fit" Criteria Based on Stochastic Processes
• The likelihood ratio test for general mixture models with or without structural parameter
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