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Titlebook: Innovations in Classification, Data Science, and Information Systems; Proceedings of the 2 Daniel Baier (Chair of Marketing and Innovation

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楼主: risky-drinking
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Chemical Balance Weighing Design with Different Variances of Errorsmber of times in which each object is weighed. We assume that errors are uncorrelated with different variances. The necessary and sufficient condition under which the lower bound of variance of each of the estimated weights is attained is given. For a new construction method of the optimum chemical
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Robustness of ML Estimators of Location-Scale Mixturesf a breakdown point for mixture model parameters and by considering some artificial examples. The ML estimator of the Normal mixture model is compared with the approach of adding a “noise component” (Fraley and Raftery (1998)) and by mixtures of t-distributions (Peel and McLachlan (2000)). It turns
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On the Modification of the David-Hellwig Testlwig “empty cells” test. The area of variability of an attribute is divided into m cells. Next we take a sample from a population. Then, we calculate a number of elements for each cell. In the David-Hellwig test, we calculate the value of the statistic . = .{.: . = 0} which counts empty cells. In th
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Multiple Change Points and Alternating Segments in Binary Trials with DependenceHere, we extend these results to the situation of multiple change points in an alternating-segments model (Halpern (2000)) and to a more general multiple change-points model. Both situations are of interest, e.g., in molecular biology when analyzing DNA sequences.
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naging real-world complex operations planning problems.The w.This work encapsulates the essential developments in this field into a single resource, as well as to set an agenda for further development in the field. This brief focuses on the demand flexibility in supply chains with fragmented results
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Sergiu Chelcea,Patrice Bertrand,Brigitte Troussenaging real-world complex operations planning problems.The w.This work encapsulates the essential developments in this field into a single resource, as well as to set an agenda for further development in the field. This brief focuses on the demand flexibility in supply chains with fragmented results
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