On Prediction of Domain Totals Based on Unbalanced Longitudinal Data

• Autorzy: Tomasz Żądło
• Języki publikacji: EN

Abstrakty

EN

In this papers author analyzes the accuracy of the empirical best linear unbiased predictor (EBLUP) of the domain total assuming a model for longitudinal data with subject specific (element specific) random components which is special case of the general linear model (GLM) and the general linear mixed model (GLMM).

Słowa kluczowe

EN

Linear models; Data analysis; Random variable

PL

Modele liniowe; Analiza danych; Zmienne losowe

• Czasopismo: Prace Naukowe / Akademia Ekonomiczna w Katowicach
• Rocznik: 2009
• Tom: Survey Sampling in Economic and Social Research
• Strony: 96--110

Twórcy

autor

Tomasz Żądło

• University of Economics in Katowice, Poland

Bibliografia

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• Żądło Т. (2004): On Unbiasedness of Some EBLU Predictor. [in:] Proceedings in Computational Statistics 2004. J. Antoch (red.). Physica Verlag, Heidelberg-New York, pp. 2019-2026.
• Żądło, Т. (2009): On MSE of EBLUP. "Statistical Papers", No. 50, pp. 101-118.