ESTIMATING THE MEAN OF INVERSE GAUSSIAN DISTRIB WTION WITH KNOWN COEFFICIENT OF VARIATION UNDER ENTROPY LOSS

نویسندگان: ثبت نشده
چکیده مقاله:

An estimation problem of the mean µ of an inverse Gaussian distribution IG(µ, C µ) with known coefficient of variation c is treated as a decision problem with entropy loss function. A class of Bayes estimators is constructed, and shown to include MRSE estimator as its closure. Two important members of this class can easily be computed using continued fractions

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estimating the mean of inverse gaussian distrib wtion with known coefficient of variation under entropy loss

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عنوان ژورنال

دوره 8  شماره 1

صفحات  -

تاریخ انتشار 1997-03-01

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