Title of article
Power Xgamma distribution: properties, estimation, regression, simulation and applications
Author/Authors
Obulezi ، Okechukwu J. Department of Statistics - Faculty of Sciences - Nnamdi Azikiwe University , Ibeakuzie ، Precious O. Department of Statistics - Faculty of Sciences - Nnamdi Azikiwe University , Anabike ، Ifeanyi C. Department of Statistics - Faculty of Sciences - Nnamdi Azikiwe University , Igbokwe ، Chinyere P. Department of Statistics - School of Science and Industrial Technology - Abia State Polytechnic , Etaga ، Harrison O. Department of Statistics - Faculty of Sciences - Nnamdi Azikiwe University
From page
58
To page
72
Abstract
In this study, an extension of Xgamma distribution has been proposed and studied. The extension has an additional parameter accounting for the shape of the distribution. The properties of the proposed distribution were derived and discussed. The estimation of the parameters was done using the maximum likelihood method. The study’s uniqueness is in developing a parametric regression model capable of competing with the classical regression model and also useful in the face of censored data. The applicability and flexibility were demonstrated using simulation studies and some lifetime data.
Keywords
Power Xgamma distribution , COVID , 19 Patients , CD4 count , HIV , AIDS , Log , transformation , parametric regression
Journal title
Computational Algorithms and Numerical Dimensions (CAND)
Journal title
Computational Algorithms and Numerical Dimensions (CAND)
Record number
2777422
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