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:: Volume 13, Number 2 (3-2017) ::
JSRI 2017, 13(2): 215-230 Back to browse issues page
Spatial Beta Regression Model with Random Effect
Lida Kalhori, Mohsen Mohhamadzadeh *
Abstract:   (633 Views)

 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.

Keywords: Bayesian estimation, beta regression model, spatial correlation, random effect.
Full-Text [PDF 383 kb]   (183 Downloads)    
Type of Study: Research | Subject: General
Received: 2016/09/16 | Accepted: 2017/04/8 | Published: 2017/06/11
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DOI: 10.18869/acadpub.jsri.13.2.215


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Kalhori L, Mohhamadzadeh M. Spatial Beta Regression Model with Random Effect. JSRI. 2017; 13 (2) :215-230
URL: http://jsri.srtc.ac.ir/article-1-239-en.html
Volume 13, Number 2 (3-2017) Back to browse issues page
مجله‌ی پژوهش‌های آماری ایران (علمی - پژوهشی) Journal of Statistical Research of Iran JSRI
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