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Title of Journal: Soft Comput

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Abbravation: Soft Computing

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Springer Berlin Heidelberg

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DOI

10.1007/bf01062040

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1433-7479

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Uncertain regression analysis an approach for imp

Authors: Kai Yao Baoding Liu
Publish Date: 2017/02/15
Volume: 22, Issue: 17, Pages: 5579-5582
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Abstract

Regression analysis is a method to estimate the relationships among the response variable and the explanatory variables Assuming the observations of the response variable are imprecise and modeling the observed data via uncertain variables this paper explores an approach of uncertain regression analysis to estimating the relationships among the variables with imprecisely observed samples On the principle of least squares an optimization problem is derived to calculate the unknown parameters in the regression model In particular this paper investigates uncertain linear regression model and gives an analytic representation of the unknown parameters

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