模糊状态风险分析的广义Logistic回归理论与应用(2)——最佳非饱和模型拟合与归因危险度估计

The Theory and Applicatoins of Generalized Logistic Regression for Risk Analysis of Fuzzy States(2)—The Methods of Fitting the “Best” Non-Saturated Model and Estimating Attributable Risk

摘要: 借助模糊状态概念、交叉积差和统计量和信息量寻优标准,转好实现最佳非饱和模型拟合与归因危险度估计,突破了传统谱系套模型限定的约束,能找出显着交互效应项,有助于揭示微弱相关影响因素的多因素联合作用.

Abstract: By the aid of fuzzy state analysis,the Cross-Product Differance Sum and the Akaike's Information Criterion,The metho ds, fitting the best non-saturated model and estimating attributable risk,are suggested in this papper.The realization of fitting the best non-saturated model,breaking through some constraints of nested hierarchy models,can improve the abilities exploring joint actions of weakly correlative-influencing factors.