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2010 | Survey sampling methods in economic and social research | 83--98
Tytuł artykułu

On some pseudo-EBLUP in the case of modeling longitudinal profiles

Autorzy
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Although in sample surveys the problem of estimation of population characteristics is usually the key issue, clients may also be interested in subpopulations characteristics. In some cases the model approach may not be preferred in practice due to the possibility of model misspecification what may imply bias of estimates. This is the reason why model-assisted approach giving e.g. design-consistent estimates (even in the case of model misspecification) may be in favour. In the paper model-assisted pseudo-empirical best linear unbiased predictor (pseudo-EBLUP) of the domain total for longitudinal data based on the special case of the General Linear Mixed Model (GLMM) with element and domain specific random components will be proposed.(author's abstract)
Twórcy
  • Uniwersytet Ekonomiczny w Katowicach
Bibliografia
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  • Royall R.M. (1976): The Linear Least Squares Prediction Approach to Two-stage Sampling. "Journal of the American Statistical Association", No. 71.
  • R Development Core Team (2009): R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria., URL http://www.R-project.org.
  • Verbeke G., Molenberghs G. (2000): Linear Mixed Models for Longitudinal Data. Springer-Verlag, New York.
  • You Y., Rao J.N.K. (2002): A Pseudo-Empirical Best Linear Unbiased Prediction Approach to Small Area Estimation Using Survey Weights. "The Canadian Journal of Statistics", No. 30.
  • Żądło T. (2004): On Unbiasedness of Some EBLU Predictor. In: Ed. J. Antoch. Proceedings in Computational Statistics 2004. Physica-Verlag, Heidelberg- -New York.
  • Żądło T. (2009a): On Prediction of Domain Totals Based on Longitudinal Unbalanced Data. In: Survey Sampling in Economic and Social Research, positively reviewed, in printing.
  • Żądło T. (2009b): On MSE ofEBLUP. "Statistical papers", No. 50.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171397451

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