Efficient fitting of long-tailed data sets into hyperexponential distributions

Abstract

We propose a new technique for fitting long-tailed data sets into hyperexponential distributions. The approach partitions the data set in a divide and conquer fashion and uses the Expectation-Maximization (EM) algorithm to fit the data of each partition into a hyperexponential distribution. The fitting results of all partitions are combined to generate the… (More)
DOI: 10.1109/GLOCOM.2002.1189083

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