%0 Journal Article
%A Meshkani, Reza
%T Regression Analysis under Inverse Gaussian Model: Repeated Observation Case
%J Journal of Statistical Research of Iran
%V 1
%N 1
%U http://jsri.srtc.ac.ir/article-1-138-en.html
%R 10.18869/acadpub.jsri.1.1.31
%D 2004
%K Bayesian inference, empirical Bayes, conjugate prior, posterior, inverse Gaussian distribution, regression, likelihood.,
%X Traditional regression analyses assume normality of observations and independence of mean and variance. However, there are many examples in science and Technology where the observations come from a skewed distribution and moreover there is a functional dependence between variance and mean. In this article, we propose a method for regression analysis under Inverse Gaussian model when there are repeated observations for a fixed value of explanatory variable. The problem is treated by likelihood, Bayes, and empirical Bayes procedures, using conjugate priors. Inferences are provided for regression analysis.
%> http://jsri.srtc.ac.ir/article-1-138-en.pdf
%P 31-50
%& 31
%!
%9 Research
%L A-10-1-108
%+
%G eng
%@ 1735-1294
%[ 2004