Estimation of Beta Regression Model with Applied Study


  • Hanaa Abd El Reheem Salem Faculty of Commerce – Tanta University



Beta distribution, Maximum likelihood estimation, Bayesian estimation, Regression.


This paper proposes a regression model where the dependent variable is beta distributed. Therefore the observations of the dependent variable must fall within (0,1) interval. This beta regression model produces two regression coefficients: one for the model of the mean and one for the model of the dispersion. Parameter estimation is performed by maximum likelihood and Bayesian method. Finally, numerical study is presented.


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How to Cite

Salem, H. A. E. R. (2016). Estimation of Beta Regression Model with Applied Study. JOURNAL OF ADVANCES IN MATHEMATICS, 12(11), 6773–6777.