Laplace Distribution And Probabilistic (bi) In Linear Programming Model

Authors

  • ali khaleel al-zubidi

DOI:

https://doi.org/10.33095/jeas.v17i61.1090

Keywords:

Laplace Distribution And Probabilistic (bi) In Linear Programming Model

Abstract

The theory of probabilistic programming  may be conceived in several different ways. As a method of programming it analyses the implications of probabilistic variations in the parameter space of linear or nonlinear programming model. The generating mechanism of such probabilistic variations in the economic models may be due to incomplete information about changes in demand, pro­duction and technology, specification errors about the econometric relations presumed for different economic agents, uncertainty of various sorts and the consequences of imperfect aggregation or disaggregating of economic variables. In this Research we discuss the probabilistic programming problem when the coefficient bi is random variable with given Laplace distribution.

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Published

2011-03-01

Issue

Section

Statistical Researches

How to Cite

“Laplace Distribution And Probabilistic (bi) In Linear Programming Model” (2011) Journal of Economics and Administrative Sciences, 17(61), p. 20. doi:10.33095/jeas.v17i61.1090.

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