The Use of Fuzzy A Priori information for Estimation of Regression Parameters

被引：0

作者：

Korkhin, Arnold S. ^{[1
]}

Mizernyi, Victor N. ^{[2
]}

机构：

[1] Res. Inst. of Fer. Metall. Automat., Dnepropetrovsk, Ukraine

[2] Vinnitsa State Technical University, Ukraine

来源：

Journal of Automation and Information Sciences | 2003年 / 35卷 / 1-4期

关键词：

Constraint theory - Fuzzy sets - Mathematical models - Matrix algebra - Parameter estimation - Random processes - Regression analysis - Theorem proving - Vectors;

D O I：

10.1615/jautomatinfscien.v35.i1.50

中图分类号：

学科分类号：

摘要：

A method of a priori information consideration, based on description of definition domain of regression parameters by equality constraints and by inequality constraints, where either right-hand or left-hand parts of constraints are prescribed fuzzy, is suggested. Statistical properties of estimates are studied. The described technique is applied for derivation of models of non-stationary stochastic systems, which can be reduced to a model of regression with switchings.

引用

页码：38 / 49

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