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On Mean Squared Prediction Error Estimation in Small Area Estimation Problems
Authors:Shijie Chen  P Lahiri
Institution:1. RTI International , Washington, D.C., USA schen@rti.org;3. JPSM , University of Maryland , College Park, Maryland, USA
Abstract:For a general linear mixed normal model, a new linearized weighted jackknife method is proposed to estimate the mean squared prediction error (MSPE) of an empirical best linear unbiased predictor (EBLUP) of a general mixed effect. Different MSPE estimators are compared using a Monte Carlo simulation study.
Keywords:Empirical best linear unbiased predictor  Jackknife  Linear mixed models  Mean squared prediction error  Small area estimation
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