Showing 1 - 10 of 10
We discuss a variety of clustering problems arising in combinational applications and in classifying objects into homogenous groups. For each problem we discuss solution strategies that work well in practice. We also discuss the importance of careful modelling in clustering problems. Citation...
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Often, in finite samples, the true level of the confidence intervals for natural estimators of inequality indices belonging to the Gini family differs greatly from their nominal level, which is based on the asymptotic confidence limits. This paper shows how the Gram-Charlier series can be used...
Persistent link: https://www.econbiz.de/10005701596
We discuss two experimental designs and show how to use them to evaluate difficult empirical combinatorial problems. We restrict our analysis here to the knapsack problem but comment more generally on the use of computational testing to analyze the performances of algorithms. Citation Copyright...
Persistent link: https://www.econbiz.de/10005701704
In this paper we present some nonparametric bootstrap methods to construct distribution-free confidence intervals for inequality indices belonging to the Gini family. These methods have a coverage accuracy better than that obtained with the asymptotic distribution of their natural estimators,...
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Typically international airports have features quite distinct from those of regional airports. We discuss the process of developing a Decision Support System, and appropriate mathematical models and algorithms to use for making gate allocation decisions at an international airport. As an...
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Container terminals are essential intermodal interfaces in the global transportation network. Efficient container handling at terminals is important in reducing transportation costs and keeping shipping schedules. In this paper, we study the storage space allocation problem in the storage yards...
Persistent link: https://www.econbiz.de/10005228097