scholarly journals On the maximum likelihood estimator in the generalized beta regression model

2012 ◽  
Vol 32 (4) ◽  
pp. 761
Author(s):  
Jerzy P. Rydlewski ◽  
Dominik Mielczarek
Keyword(s):  
Maximum Likelihood ◽  
Regression Model ◽  
Maximum Likelihood Estimator ◽  
Beta Regression ◽  
Likelihood Estimator ◽  
Beta Regression Model

scholarly journals Estimation of Beta Regression Model with Applied Study

2016 ◽  
Vol 12 (11) ◽  
pp. 6773-6777
Author(s):  
Hanaa Abd El Reheem Salem
Keyword(s):  
Parameter Estimation ◽  
Maximum Likelihood ◽  
Regression Model ◽  
Bayesian Method ◽  
Numerical Study ◽  
Regression Coefficients ◽  
Beta Regression ◽  
Applied Study ◽  
The Mean ◽  
Beta Regression Model

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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