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Informationen gewinnen als betriebliche Ressource eine immer größer werdende Bedeutung. Daraus ergibt sich für das Management einer Organisation die Herausforderung, organisationale Strukturen zu gestalten, die dieser zunehmenden Bedeutung Rechnung tragen, um somit diese Ressource erfolgreich...
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In this paper, we argue that some of the prior parameter distributions used in the literature for the construction of Bayesian optimal designs are internally inconsistent. We rectify this error and provide practical advice on how to properly specify the prior parameter distribution. Also, we...
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This note adapts results by Huang and Hidiroglou (2003) on Generalized Least Squares estimation and Empirical Bayes prediction for linear mixed models with sampling weights. The objective is to incorporate these results into the poverty mapping approach put forward by Elbers et al. (2003). The...
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Two ideas taken from Bayesian optimization and classifier systems are presented for personnel scheduling based on choosing a suitable scheduling rule from a set for each person's assignment. Unlike our previous work of using genetic algorithms whose learning is implicit, the learning in both...
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