This paper proposes a method for estimating distribution functions that are associated with the nested errors in linear mixed models. The estimator incorporates Empirical Bayes prediction while making minimal assumptions about the shape of the error distributions. The application presented in this paper is the small area estimation of poverty and inequality, although this denotes by no means the only application. Monte-Carlo simulations show that...
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ПОДРОБНАЯ ИНФОРМАЦИЯ
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2014/07/01
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Рабочий документ в рамках исследования вопросов политики
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WPS6962
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1
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1
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2014/07/01
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Disclosed
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Estimation of normal mixtures in a nested error model with an application to small area estimation of poverty and inequality
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probability density function
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