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a weighted linear regression model for impercise response
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نویسنده
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arabpour alireza ,amini marzei
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منبع
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journal of mahani mathematical research - 2014 - دوره : 3 - شماره : 1 - صفحه:1 -17
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چکیده
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A weighted linear regression model with impercise response and preal explanatory variables is analyzed. the lr fuzzy random variable is introduced and a metric is suggested for coping with this kind of variables. a least square solution for estimating the parameters of the model is derived. the result are illustrated by the means of some case studies.
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کلیدواژه
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fuzzy regression ,least squares ,estimate ,imprecise response
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آدرس
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shahid bahonar university of kerman, faculty of mathematics andcomputer, department of statistics, ایران, shahid bahonar university of kerman, faculty of mathematics andcomputer, department of statistics, ایران
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پست الکترونیکی
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amini.marzei@gmail.com
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Authors
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