[Home ] [Archive]    
:: Volume 13, Issue 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:   (3698 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]   (1934 Downloads)    
Type of Study: Research | Subject: General
Received: 2016/09/16 | Accepted: 2017/04/8 | Published: 2017/06/11
Add your comments about this article
Your username or Email:


XML   Persian Abstract   Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

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

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 13, Issue 2 (3-2017) Back to browse issues page
مجله‌ی پژوهش‌های آماری ایران Journal of Statistical Research of Iran JSRI
Persian site map - English site map - Created in 0.09 seconds with 29 queries by YEKTAWEB 4447