Estimating from cross-sectional categorical data subject to misclassification and double sampling: moment-based, maximum likelihood and quasi-likelihood approaches

DOI10.1155/JAMDS/2006/42030zbMath1105.62070OpenAlexW2016785849MaRDI QIDQ2491531

Yan-Xia Lin, Nikos Tzavidis

Publication date: 29 May 2006

Published in: Journal of Applied Mathematics and Decision Sciences (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/126918

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Point estimation (62F10)

Cites Work

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• Quasi-likelihood and its application. A general approach to optimal parameter estimation
• A Double Sampling Scheme for Estimating from Misclassified Multinomial Data with Applications to Sampling Inspection
• Misclassification in 2 X 2 Tables

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