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Small area estimation techniques are becoming more and more important for the production of official data. Since 2002 ISTAT has applied small area estimation methods to disseminate estimates of employment and unemployment rates for local labour market areas; furthermore several experimental...
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This paper proposes a local stationarity approach in EBLUP estimation with the aim to improve the reliability of …
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prediction (EBLUP) andits inferences under the general Fay-Herriot small area model.Considering that the currently used variance … provide a concrete proof for the positiveness andconsistency of both ADM estimators.We also propose EBLUP estimator of $\theta … themethod-of-moments, REML, ML and FH methods could be all zero. Weobserve that ADM methods produce EBLUP's which generally put …
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EBLUP, with the simple MSE estimator associated with the MBD estimator providing good coverage performance. We also report … results that indicate that the MBD estimator may be more robust than the EBLUP when the small area model is incorrectly … of variables, including variables that are unsuitable for EBLUP, e.g. variables that contain a significant proportion of …
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Sample surveys are generally multivariate, in the sense that they collect data on more than one response variable. In theory, each variable can then be assigned an optimal weight for estimation purposes. However, it is a distinct practical advantage to have a single weight for all variables...
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Common methods for estimating variance components in Linear Mixed Models include Maximum Likelihood (ML) and Restricted Maximum Likelihood (REML). These methods are based on the strong assumption of multivariate normal distribution and it is well know that they are very sensitive to outlying...
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