%0 Journal Article %T ESTIMATING THE MEAN OF INVERSE GAUSSIAN DISTRIB WTION WITH KNOWN COEFFICIENT OF VARIATION UNDER ENTROPY LOSS %J Journal of Sciences, Islamic Republic of Iran %I University of Tehran %Z 1016-1104 %D 1997 %\ 03/01/1997 %V 8 %N 1 %P - %! ESTIMATING THE MEAN OF INVERSE GAUSSIAN DISTRIB WTION WITH KNOWN COEFFICIENT OF VARIATION UNDER ENTROPY LOSS %R %X 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 %U https://jsciences.ut.ac.ir/article_31150_e6495458c2b2f55ab4f53eb88e6891a8.pdf