00000nam 2200000za 4500 9.839753 CaOODSP 20221107151658 cr ||||||||||| 170714s2000 onc ||||os f|0| 0 eng d CaOODSP eng eng fre n-cn--- CS92-0049/2000E-PDF You, Yong. A non-linear hierarchical modelling approach for census undercoverage estimation [electronic resource] / Yong You. Proceedings of the Survey Methods Section [Ottawa : Household Survey Methods Division, Statistics Canada, 2000] p. 185-190 Digitized edition from print [produced by Statistics Canada]. Title from caption. Copy of an article from Proceedings of the Survey Methods Section, 2000. Includes abstract in French. Includes bibliographical references. "Area-level nonlinear mixed effects models are considered in this paper for Canada census undercoverage estimation. We fit an area-level nonlinear mixed effects model to the province-level undercoverage survey estimates. In particular, the sampling model is based on the survey estimate of the undercoverage count, and the linking model is a log-linear model for the undercoverage rate. A full hierarchical Bayes (HB) approach is developed to obtain the posterior estimates of the census undercoverage using Markov Chain Monte Carlo (MCMC) sampling methods. Our result shows that the proposed method can provide efficient model-based estimates. Analysis of model fitting is also presented using posterior predictive distributions, and the corresponding result indicates that the proposed model fits the data quite well."--Abstract. gccst Census gccst Methodology gccst Statistical analysis Statistics Canada. Methodology Branch. Household Survey Methods Division. PDF 552 KB https://publications.gc.ca/collections/collection_2017/statcan/CS92-0049-2000-eng.pdf