Estimation of Beta Regression Model with Applied Study
Journal Title: JOURNAL OF ADVANCES IN MATHEMATICS - Year 2016, Vol 12, Issue 11
Abstract
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.
Authors and Affiliations
Hanaa Abd El Reheem Salem
Keywords
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- EP ID EP651671
- DOI 10.24297/jam.v12i11.10
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