Table of Contents
Journal of Applied Mathematics and Decision Sciences
Volume 2006, Article ID 42030, 13 pages
http://dx.doi.org/10.1155/JAMDS/2006/42030

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

1 Centre for Longitudinal Studies (CLS), Institute of Education, University of London, 20 Bedford Way, London WC1H 0AL, United Kingdom
2Southampton Statistical Sciences Research Institute, University of Southampton, United Kingdom
3School of Mathematics and Applied Statistics, University of Wollongong, Northfields Ave, Wollongong, NSW 2500, Australia

Received 1 October 2004; Revised 6 May 2005; Accepted 21 July 2005

Copyright © 2006 Nikos Tzavidis and Yan-Xia Lin. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Nikos Tzavidis and Yan-Xia Lin, “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, vol. 2006, Article ID 42030, 13 pages, 2006. https://doi.org/10.1155/JAMDS/2006/42030.