This dissertation consists of two parts. The first part deals with theperformance appraisal of estimation algorithms. The second partfocuses on the application of estimation algorithms to targettracking. Performance appraisal is crucial for understanding,developing and comparing various...

One of the more important statistical tools for the monitoring and analysis of the economic activity evolution in the short term is the availability of estimations of the quarterly GDP components, whether the supply side or whether the demand side. The need for having this information with a...

This study implements Mathematica to estimate a system of national accounts. The estimation methods applied are portrayed in Danilov and Magnus (2008), including the Bayesian estimation, restricted and unrestricted least-squares estimation and best linear unbiased estimation. Operationalizing...

In this paper, we have obtained the marginal and joint distributions of concomitants of k-record values for the Morgenstern family of distributions (MFD) and hence obtained the moments and product moments of concomitants of k-record values. Applying this results we have derived the best linear...

This paper discusses estimation and guidancestrategies for vision-based target tracking. Specificapplications include formation control of multiple unmannedaerial vehicles (UAVs) and air-to-air refueling. We assumethat no information is communicated between the aircraft,and only passive 2-D...

Die Arbeit handelt von der Kombination des Unscented Kalman-Filters mit den Methoden der Dezentralisierung, Verteilung und Fusion. Zu Anfang werden die allgemeinen Grundlagen der optimalen Zustandsschätzung für das lineare Filter hergeleitet. Aus diesen Betrachtungen, die auch mit Blick auf...