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Stochastic Programming with Cauchy Distribution

Author(s)
Manas Kumar Pal Institute of Management & Information Science Bhubaneswar,Odisha,India
S. Bagh Department of Statistics, Sambalpur University, Orissa, India
Abstract
The aim of this paper is to derive a method for solving a stochastic linear programming problem with Cauchy distribution. Assuming that the coefficients are distributed as Cauchy random variables, the stochastic linear programming is converted to a deterministic non-linear programming problem by a suitable transformation. Then an algorithm can be used to solve the resulting deterministic problem .A numerical example can be considered to illustrate the above methodology. 
Publication Details
Page(s) 543-552
DOI DOI not available
Published Journal: Pakistan Journal of Statistics and Operation Research, Volume: 11, Issue: 4, Year: 2015

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Keywords
and phrases, Probability density functions, Stochastic programming, Levy inversion theorem, Cauchy random variables
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