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The article discusses an award given by the journal for the best paper on the subject of Information Technology in 2012, on the subject of governance of global Information Technology (IT) projects from a dynamic control perspective. The winning article presents an analysis of how Customer Relationship Management (CRM) can be made dynamic through the use of mobile telephones.

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Die vorliegende Arbeit untersucht das Modell von Siegel (1995) zur Schätzung von ausgeglichenen Kopfschäden in der Privaten Krankenversicherung. Der Ausgangspunkt des Modells ist eine Stichprobe aus zufälligen Vektoren, die den Beobachtungszeitraum, das Alter und den Kopfschaden einer versicherten Person beschreiben. Wir konstruieren eine Zerlegung dieser Stichprobe in eine endliche Anzahl von Gruppen mit unterschiedlichem Beobachtungszeitraum und Alter und geben die Eigenschaften dieser zerlegten Stichproben an. Ihr Stichprobenumfang ist zufällig und kann auch Null sein. Fur jede Gruppe betrachten wir den rohen Kopfschaden und berechnen seine ersten und zweiten bedingten Momente, gegeben, daβ die Teilstichprobe mindestens eine Beobachtung enthält. Weiterhin betrachten wir verschiedene Regressionsmodelle für den Kopfschaden. Wir beenden die Arbeit mit dem Beispiel der linearen Regression und vergleichen den Schätzer aus Siegel (1995) mit dem besten linearen (bedingt) erwartungstreuen Schätzer. The present paper revisits the model of Siegel (1995) of estimating mean costs per head in the German private health insurance. The starting point of the model is a sample of random vectors describing reporting year, life age, and cost per head of an insured person. We construct a decomposition of this sample into a finite number of groups of different reporting years and life ages, and we give the properties of these subsamples. Their sample sizes are random and may be zero. For each group we consider the average cost per head and calculate its first and second conditional moments given that the subsample contains at least one observation. Furthermore we consider several regression models for the cost per head. We complete this paper with the example of the linear regression and compare the estimator proposed by Siegel (199S) and the best linear (conditional) unbiased estimator. [ABSTRACT FROM AUTHOR]

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