Maximum Likelihood Estimation of Parameters in a Mixture Model

DOI10.1080/03610918.2013.879177zbMath1346.62035OpenAlexW2022036318MaRDI QIDQ2816710

V. Pandit Parameshwar, Satish Bhat, R. Vidya

Publication date: 25 August 2016

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

Full work available at URL: http://eprints-bangaloreuniversity.in/6344/1/2016-Comm.Stat.-Sim.Comp-Satish-Vidya-PVP.pdf

zbMATH Keywords

MLEbootstrapping and confidence intervalEM algorithm standard errors

Mathematics Subject Classification ID

Point estimation (62F10)

Cites Work

• Unnamed Item
• On the convergence properties of the EM algorithm
• An EM algorithm for a mixture model of count data
• Two further applications of a model for binary regression
• INFERENCE ABOUT THE MEAN OF A POISSON DISTRIBUTION IN THE PRESENCE OF A NUISANCE PARAMETER
• Maximum likelihood in small samples: Estimation in the presence of nuisance parameters
• Linear Statistical Inference and its Applications

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