Czasopismo
Tytuł artykułu
Warianty tytułu
Języki publikacji
Abstrakty
In the small area estimation literature there are many examples of empirical best linear unbiased predictor (EBLUP) technique application related to household surveys, especially income surveys and living conditions surveys. In this paper authors based on real data study accuracy of empirical predictor assuming basic area level model. Computations are supported by SAE package designed for R-project environment.
Rocznik
Strony
9--20
Opis fizyczny
Twórcy
autor
- Statistical Office in Lodz, Poland
autor
- University of Lodz, Poland; Statistical Office in Lodz, Poland
autor
- Statistical Office in Lodz, Poland
Bibliografia
- Fay R.E., Herriot R.A. (1979): Estimation of Income from Small Places: Application of James Stein Procedure to Census Data. "Journal of the American Statistical Association", No. 74, pp. 269-277.
- Kordos J. (2005): Household Surveys in Transition Countries. [in:] Household Sample Surveys in Developing and Transition Countries. S. Abeyasekera et al. (eds). United Nations, New York, http://unstats.un.org/unsd/hhsurveys/part2_new.htm.
- Kordos J., Lednicki В., Żyra M. (2002): The Household Sample Surveys in Poland. "Statistics in Transition", Vol. 5, No. 4, pp. 555-589, http://www.stat.gov.pl/cps/rde/xbcr/gus/PTS_sit_5_4.pdf.
- Pratesi M., Salvati N. (2008): Small Area Estimation: The EBLUP Estimator Based on Spatially Correlated Random Area Effects. "Statistical Methods and Applications", 17, No. 1, pp. 113-141, http://www.springerlink.com/content/n8rt31 Iml60xq4w5/.
- Rao J.N.K. (2003): Small Area Estimation. Wiley, London.
- Social Exclusion and Integration in Poland: An Indicators-Based Approach (2006). UNDP Polska, Warsaw, http://europeandcis.undp.org/poverty/show/0A148E4F-F203-1EE9-B960DA52784C2DAD.
- Software for Ecological Inference (2007). http://www.biasproject.org.uk/software/.
- The EURAREA Consortium (2004): Project Reference. Vol. I and III. http://www.sta-tistics.gov.uk/eurarea/
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171201607