模糊状态风险分析的广义Logistic回归理论与应用(3)——状态约化和约化关联矩阵算法技巧

The Theory and Applications of Generalized Logistic Regression for Risk Analysis of Fuzzy States(3)—Algorithm Technique for Reduction and Reductive Incidence Matrix of Fuzzy States

本文提出了状态和约化关联矩阵算法技巧 ,是状态风险分析理论的重要基础 ,实现了平庸态约化 ,有效信息提取 ,及状态与变量回归参数间的转换。文中对EpiFASRS统计软件与SAS软件中 。

The algorithm technique,analysing reduction and reductive incidence matrix of fuzzy states,is developed in this paper.This technique constitutes the base of risk analysis theory of fuzzy states,realizing reduction of trivial states,exstraction of effective information and transforming from state regression parameters into variate regression parameters.Analytical results for sampling data from a probability model,making use of the methods in this paper and SAS-software respectively,are compared.