Finite mixture of regression models for a stratified sample

DOI10.1080/00949655.2019.1636990zbMath1465.62034OpenAlexW2954780761WikidataQ127537936 ScholiaQ127537936MaRDI QIDQ5107492

Semhar Michael, Abdelbaset Abdalla

Publication date: 27 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2019.1636990

zbMATH Keywords

BICpseudo-likelihoodsampling weightsfinite mixture of regression modelsstratified samplecomplex survey design

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Sampling theory, sample surveys (62D05)

Related Items (1)

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Uses Software

• flexmix
• Survey

Cites Work

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• Estimating the dimension of a model
• Mixture model analysis of complex samples
• Identifiability of models for clusterwise linear regression
• Fitting regression models to survey data
• An effective strategy for initializing the EM algorithm in finite mixture models
• The Role of Sampling Weights When Modeling Survey Data
• On the Variances of Asymptotically Normal Estimators from Complex Surveys
• Ignorable and informative designs in survey sampling inference
• Analysis of Survey Data
• On the Two Different Aspects of the Representative Method: The Method of Stratified Sampling and the Method of Purposive Selection
• A Generalization of Sampling Without Replacement From a Finite Universe
• EM for mixtures

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