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| 01984cam 2200349za 4500 |
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| 001 | 9.840289 |
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| 003 | CaOODSP |
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| 005 | 20221107151815 |
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| 007 | cr ||||||||||| |
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| 008 | 170725s1998 onc |o f|0| 0 eng d |
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| 040 | |aCaOODSP|beng |
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| 041 | |aeng|bfre |
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| 043 | |an-cn--- |
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| 086 | 1 |aCS11-617/98-9E-PDF |
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| 100 | 1 |aChen, Zhao-Guo,|d1943- |
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| 245 | 10|aBest feasible unbiased prediction for multi-source data system with an application for multiplicative benchmarking |h[electronic resource] / |cZhao-Guo Chen and Estela Bee Dagum. |
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| 260 | |a[Ottawa] : |bStatistics Canada, |c1998. |
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| 300 | |a23 p. |
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| 490 | 1 |aWorking paper ; |v98-9 |
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| 500 | |aDigitized edition from print [produced by Statistics Canada]. |
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| 500 | |a"Working paper No. BSMD-98-009E." |
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| 500 | |a"October 1998." |
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| 504 | |aIncludes bibliographic references. |
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| 520 | |a"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. |
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| 546 | |aSummary also in French. |
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| 692 | 07|2gccst|aStatistical analysis |
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| 692 | 07|2gccst|aMethodology |
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| 700 | 1 |aDagum, Estela Bee. |
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| 710 | 1 |aCanada. |bStatistics Canada. |bMethodology Branch. |
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| 830 | #0|aWorking paper (Statistics Canada. Methodology Branch)|v98-9|w(CaOODSP)9.834763 |
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| 856 | 40|qPDF|s2.56 MB|uhttps://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-617-98-9-eng.pdf |
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