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title:A Coxian-Fitting Method on Heavy-Tailed Data
Zhao Guo-xi
Department of Mathematics
Xinxiang University
Xinxiang,China
5916021@sina.com
Wang Shou-yin
Department of Mathematics
Xinxiang University
Xinxiang, China
wangshy06@sina.com
Chen Pei-shu
Department of Mathematics
ChaoHu University
ChaoHu, China
cps8@sina.comAbstract—The paper presents a Coxian Fitting problem on Heavy-tailed data and establishes the nonlinear programming model to analyze the related parameter of the Coxian probability distribution. Using genetic algorithm and corresponding iterative steps, we can solve the model. Especially, a distance measure formula is proposed to analyze error resulting from different order and the Coxian distribution with optimal order is found. Simulation with Matlab software indicates that the outcome is good.
Keywords: Phase representation; Coxian fitting; genetic algorithm; distance measure
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leimiao_hit

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leimiao_hit

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zhaoguoxi(金币+10): ganxie 2011-10-12 17:52:33
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