A note on information loss in analyzing a mixture model of count data

DOI10.1080/03610929508831674zbMath0875.62116OpenAlexW2118183772MaRDI QIDQ4337132

Paul S. F. Yip, Daniel Y. T. Fong

Publication date: 19 May 1997

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929508831674

zbMATH Keywords

asymptotic relative efficiencylikelihood functionmixture model

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12)

Related Items (1)

Estimation of Covariate Distribution with Capture–Recapture Data

Cites Work

• An EM algorithm for a mixture model of count data
• The Use of a Mixture Model in the Analysis of Count Data
• 138. Note: On the Estimation of the Mean of a Poisson Distribution from a Sample with the Zero Class Missing
• 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

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