Parametric bootstrap methods for bias correction in linear mixed models
نویسندگان
چکیده
منابع مشابه
Parametric bootstrap methods for bias correction in linear mixed models
The empirical best linear unbiased predictor (EBLUP) in the linear mixed model (LMM) is useful for the small area estimation, and the estimation of the mean squared error (MSE) of EBLUP is important as a measure of uncertainty of EBLUP. To obtain a second-order unbiased estimator of the MSE, the second-order bias correction has been derived mainly based on Taylor series expansions. However, thi...
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ژورنال
عنوان ژورنال: Journal of Multivariate Analysis
سال: 2012
ISSN: 0047-259X
DOI: 10.1016/j.jmva.2011.12.002