00000nam 2200000za 4500 9.840289 CaOODSP 20221107151815 cr ||||||||||| 170725s1998 onc |o f|0| 0 eng d CaOODSP eng eng fre n-cn--- CS11-617/98-9E-PDF Chen, Zhao-Guo, 1943- Best feasible unbiased prediction for multi-source data system with an application for multiplicative benchmarking [electronic resource] / Zhao-Guo Chen and Estela Bee Dagum. [Ottawa] : Statistics Canada, 1998. 23 p. Working paper ; 98-9 Digitized edition from print [produced by Statistics Canada]. "Working paper No. BSMD-98-009E." "October 1998." Includes bibliographic references. "Information about a socio-economic variable of interest (usually, one or a group of time series) often originates from several sources none of which is complete and/or accurate. A stepwise approach is developed here for predicting the variable of interest by using the data from source to source focusing on minimizing the variances of prediction errors. This paper also reviews some BLUP (the best linear unbiased prediction) theory and shows that the stepwise approach proposed here can give better predictions than BLUP for nonlinear models. As an important application, a nonlinear benchmarking formula for a multiplicative model is derived"--Summary. Summary also in French. gccst Statistical analysis gccst Methodology Dagum, Estela Bee. Canada. Statistics Canada. Methodology Branch. Working paper (Statistics Canada. Methodology Branch) 98-9 (CaOODSP)9.834763 PDF 2.56 MB https://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-617-98-9-eng.pdf 11-617 no. 98-09