Czasopismo
Tytuł artykułu
Warianty tytułu
Języki publikacji
Abstrakty
Using data collections from common sample surveys, researchers deal with design-based effective statistics, but estimates are affected by a substantial loss of precision at small area level. Models can easily accommodate statistical relations between survey parameters and area predictors, in order to provide more efficient area-level statistics. Some problems arise when researchers try to exploit at one's best the complex statistical information in the available survey data. Authors discuss this problem of exploiting all the available data at unit and area level simultaneously in a single two-level model.
Rocznik
Strony
76--87
Opis fizyczny
Twórcy
autor
- University of Cassino, Italy
autor
- University of Cassino, Italy
autor
- University of Cassino, Italy
Bibliografia
- Das K., Jiang J., Rao J.N.K. (2004): Mean Squared Error of Empirical Predictor. "The Annals of Statistics", No. 32, pp. 818-840.
- Demidenko E., Stukel T. (2002): Efficient Estimation of General Mixed Effects Models. "Journal of Statistical Planning and Inference", No. 104, pp. 197-219.
- Demidenko E. (2004): Mixed Models: Theory and Applications. Wiley, New York.
- Goldstein H. (1989): Restricted Unbiased Iterative Generalized Least Squares Estimation. "Biometrika", No. 76, pp. 622-623.
- Moura F.A.S., Holt D. (1999): Small Area Estimation Using Multilevel Models. "Survey Methodology", Vol. 25, No. 1, pp. 73-80.
- Pan J.X., Fang K.T. (2002): Growth Curve Models and Statistical Diagnostic. Springer, New York.
- Prasad N.G.N., Rao J.N.K. (1990): The Estimation of the Mean Squared Error of Small-Area Estimators. "Journal of the American Statistical Association", No. 85, pp. 163-171.
- Rao J.N.K. (2003): Small Area Estimation. Wiley, New York.
- Salvatore R., Russo С. (2008): Data Reduction in Small Area Estimation. Proceedings of the XLIV Meeting of the Italian Statistical Society, CLEUP, Italy.
- Salvatore R., Cimillo D., Pagliarella M.C. (2008): Two-Level Model Small Domain Estimation Using Reduction of Dimensionality. Proceedings of the 7th International Conference on Social Science Methodology. The RC33-ISA, Italy.
- Schott J.R. (1999): Partial Common Principal Component Subspaces. "Biometrika", Vol. 86, No. 4, pp. 899-908.
- Timm N.H. (2002): Applied Multivariate Analysis. Springer, New York.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171202069