RT - Journal Article T1 - Spatial Beta Regression Model with Random Effect JF - srtc-jsri YR - 2017 JO - srtc-jsri VO - 13 IS - 2 UR - http://jsri.srtc.ac.ir/article-1-239-en.html SP - 215 EP - 230 K1 - Bayesian estimation K1 - beta regression model K1 - spatial correlation K1 - random effect. AB - Abstract: In many applications we have to encountered with bounded dependent variables. Beta regression model can be used to deal with these kinds of response variables. In this paper we aim to study spatially correlated responses in the unit interval. Initially we introduce spatial beta generalized linear mixed model in which the spatial correlation is captured through a random effect. Then the performances of the proposed model is evaluated via a simulation study, implementing Bayesian approach for parameter estimation. Finally the application of this model on two real data sets about migration rate and divorce rate in Iran are presented. LA eng UL http://jsri.srtc.ac.ir/article-1-239-en.html M3 10.18869/acadpub.jsri.13.2.215 ER -