00000nam 2200000za 4500 9.837185 CaOODSP 20221107151058 cr ||||||||||| 170524s1995 onc |o f|0| 0 eng d CaOODSP eng eng fre n-cn--- CS11-613/95-4E-PDF Bleuer, Susana Rubin. Time series methods for postcensal estimation of household counts [electronic resource] / Susana Rubin-Bleuer. [Ottawa] : Statistics Canada, 1995. 28 p. : figures. Working paper ; 95-4 "SSMD 95-04 E." "April, 1995." Digitized edition from print [produced by Statistics Canada]. Includes bibliographic references. "We are concerned with the estimation of a population characteristic Y which changes over time, using data from a repeated sample survey carried out at regular time intervals. We propose to achieve accuracy by careful modelling of the survey error, acknowleging a bias component in the direct survey estimator, and the use of auxiliary information represented by a 'known' survey error in estimating another characteristic X. We will use state space models and the Kalman Filter for the estimation. We also address the problem of internal consistency between the sum of the published estimates of individual domains and the estimate of the aggregate. We impose calibration conditions which can be expressed in state space form. We present an application to postcensal estimation of the current number of households: the calibration equations induce a 'joint model' which effectively reduce the variability of the estimators. A measure of the model bias is obtained by the relative error in estimation at June 1991 when the corresponding census counts are available"--Abstract. Prefatory material in English and French. gccst Census gccst Methodology Canada. Statistics Canada. Social Survey Methods Division. Working paper (Statistics Canada. Methodology Branch) 95-4 (CaOODSP)9.834763 PDF 4.28 MB https://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-613-95-4-eng.pdf 11-613E