학술논문
Restricted Bayes Strategies for Programs with Simple Recourse.
Document Type
Article
Author
Source
Subject
*Stochastic analysis
*Linear programming
*Linear statistical models
*Distribution (Probability theory)
*Probability theory
*Problem solving
Stochastic programming
Parameters (Statistics)
*
*
*
*
*
Language
ISSN
0030-364X
Abstract
When using linear stochastic programs one generally assumes that the joint probability distribution of the random variables involved is known. However, in practice, for example in manpower planning problems, the knowledge of this distribution is incomplete. Consequently this paper presents a linear stochastic program with partial information, where the confidence in this joint probability distribution is expressed by a parameter varying from 0 to 1. Explicit solutions are given for programs with simple recourse. [ABSTRACT FROM AUTHOR]