A general class of zero-or-one inflated beta regression models

• Published in: Computational statistics & data analysis Vol. 56; no. 6; pp. 1609 - 1623
• Main Authors: Ospina, Raydonal, Ferrari, Silvia L.P.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2012; Elsevier
• Series: Computational Statistics & Data Analysis
• Subjects: Beta; Continuous proportions; Continuous proportions Zero-or-one inflated beta distribution Fractional data Maximum likelihood estimation Diagnostics Residuals; Data processing; Density; Diagnostics; Fractional data; Mathematical analysis; Mathematical models; Maximum likelihood estimation; Parametrization; Regression; Residuals; Statistics; Zero-or-one inflated beta distribution; Zero-or-one inflated beta distribution; Maximum likelihood estimation; Continuous proportions; Diagnostics; Residuals; Fractional data

This paper proposes a general class of regression models for continuous proportions when the data contain zeros or ones. The proposed class of models assumes that the response variable has a mixed continuous–discrete distribution with probability mass at zero or one. The beta distribution is used to...