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

Tzavidis, Nikos, and 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 2006.1 (2006): Article 42030, 13 p.-Article 42030, 13 p.. <http://eudml.org/doc/126918>.

@article{Tzavidis2006,
author = {Tzavidis, Nikos, Lin, Yan-Xia},
journal = {Journal of Applied Mathematics and Decision Sciences},
language = {eng},
number = {1},
pages = {Article 42030, 13 p.-Article 42030, 13 p.},
publisher = {Hindawi Publishing Corporation, New York},
title = {Estimating from cross-sectional categorical data subject to misclassification and double sampling: moment-based, maximum likelihood and quasi-likelihood approaches.},
url = {http://eudml.org/doc/126918},
volume = {2006},
year = {2006},
}

TY - JOUR
AU - Tzavidis, Nikos
AU - Lin, Yan-Xia
TI - Estimating from cross-sectional categorical data subject to misclassification and double sampling: moment-based, maximum likelihood and quasi-likelihood approaches.
JO - Journal of Applied Mathematics and Decision Sciences
PY - 2006
PB - Hindawi Publishing Corporation, New York
VL - 2006
IS - 1
SP - Article 42030, 13 p.
EP - Article 42030, 13 p.
LA - eng
UR - http://eudml.org/doc/126918
ER -