%A Yanuar, Ferra
%A Yozza, Hazmira
%A Rescha, Ratna Vrima
%D 2019
%T Comparison of Two Priors in Bayesian Estimation for Parameter of Weibull Distribution
%K
%X This present study purposes to conduct Bayesian inference for scale parameters, denoted by , from Weibull distribution. The prior distribution chosen in this study is the prior conjugate, that is inverse gamma and non-informative prior, namely Jeffreysâ€™ prior. This research also aims to study several theoretical properties of posterior distribution based on prior used and then implement it to generated data and make comparison between both Bayes estimator as well. The method used to evaluate the best estimator is based on the smallest Mean Square Error (MSE). This study proved that Bayes estimator using conjugate prior produces parameter value that is better estimate than the non-informative prior since it produces smaller MSE value, for condition scale parameter value more than one based on analytic and simulation study. Meanwhile for scale parameter value less than one, it could not yielded the good estimated value.
%U http://sciencetechindonesia.com/index.php/jsti/article/view/169
%J Science and Technology Indonesia
%0 Journal Article
%R 10.26554/sti.2019.4.3.82-87
%P 82-87%V 4
%N 3
%@ 2580-4391
%8 2019-07-31