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Uncertain linear regression model and its application
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نویسنده
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Guo Haiying ,Wang Xiaosheng ,Gao Zhichao
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منبع
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journal of intelligent manufacturing - 2017 - دوره : 28 - شماره : 3 - صفحه:559 -564
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چکیده
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Regression analysis is a statistical process for estimating the relationships among variables based on probability. because not all the imprecise quantities can be described by random variables, it is necessary to investigate relationships between an uncertain variable and some other variables. in this paper, an uncertain linear regression model is established based on uncertainty theory. then, the estimators of parameters are obtained in the proposed model by the empirical uncertainty distribution coming from experts’ experimental data. finally, the uncertain linear regression model is applied to solve an estimate problem.
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کلیدواژه
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Uncertainty theory ,Uncertainty distribution ,Uncertain statistics ,Linear regression model
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آدرس
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Hebei University of Engineering, China, Hebei University of Engineering, China, Hebei University of Engineering, China
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Authors
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