用混合估计方法确定分段线性风险函数的未知参数

S. Noskov
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引用次数: 0

摘要

研究课题:分段线性风险函数参数的确定问题。研究的目的是:运用线性布尔规划的方法来解决这一问题。研究的方法和对象研究的对象是对被分析系统功能的不良后果的风险最小化问题的有意义的表述的形式化,方法是回归分析和数学规划的工具。给出了用混合估计方法确定分段线性风险函数参数估计的主要研究结果,使该问题简化为线性布尔规划问题。算例求解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination of unknown parameters of a piecewise linear risk function by the method of mixed estimation
Subject of study: the problem of determining the parameters of a piecewise linear risk function. The purpose of the study: apply the apparatus of linear-Boolean programming to solve this problem. Methods and objects of research the object of the study is the formalization of a meaningful statement of the problem of minimizing the risk of undesirable consequences of the functioning of the analyzed system, the methods are regression analysis and the apparatus of mathematical programming. The main results of the study an approach to determining estimates of the parameters of a piecewise linear risk function by using the mixed estimation method is described, which allows us to reduce this problem to a problem of linear Boolean programming. Numerical example solved.
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