Estimating from cross-sectional categorical data subject to misclassification and double sampling: moment-based, maximum likelihood and quasi-likelihood approaches.
Tzavidis, Nikos ; Lin, Yan-Xia
Journal of Applied Mathematics and Decision Sciences, Tome 2006 (2006), / Harvested from The Electronic Library of Mathematics
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Publié le : 2006-01-01
DOI : https://doi.org/10.1155/JAMDS/2006/42030
EUDML-ID : urn:eudml:doc:126918 
@article{05028466,
     title = {Estimating from cross-sectional categorical data subject to misclassification and double sampling: moment-based, maximum likelihood and quasi-likelihood approaches.},
     journal = {Journal of Applied Mathematics and Decision Sciences},
     volume = {2006},
     year = {2006},
     doi = {10.1155/JAMDS/2006/42030},
     zbl = {1105.62070},
     language = {en},
     url = {http://dml.mathdoc.fr/item/05028466}
}

Tzavidis, Nikos; Lin, Yan-Xia. Estimating from cross-sectional categorical data subject to misclassification and double sampling: moment-based, maximum likelihood and quasi-likelihood approaches.. Journal of Applied Mathematics and Decision Sciences, Tome 2006 (2006) . doi : 10.1155/JAMDS/2006/42030. http://gdmltest.u-ga.fr/item/05028466/