%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