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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 …
Persistent link: https://www.econbiz.de/10009457583
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...
Persistent link: https://www.econbiz.de/10009457584
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 …
Persistent link: https://www.econbiz.de/10009450971
This research paper creates a comprehensive statistical model, relating financial impact of risk engineering activity, and insurance claims costs. Specifically, the model shows important statistical relationships among six variables including: types of risk engineering activity, risk engineering...
Persistent link: https://www.econbiz.de/10009463414
The analysis of longitudinal repeated measures data is frequently complicated by missing data due to informative dropout. We describe a mixture model for joint distribution for longitudinal repeated measures, where the dropout distribution may be continuous and the dependence between response...
Persistent link: https://www.econbiz.de/10009477333