A study on exponentiated Gompertz distribution under Bayesian discipline using informative priors
نویسندگان
چکیده
Abstract The exponentiated Gompertz (EGZ) distribution has been recently used in almost all areas of human endeavours, starting from modelling lifetime data to cancer treatment. Various applications and properties the EGZ are provided by Anis De (2020). This paper explores important under Bayesian discipline using two informative priors: Gamma Prior (GP) Inverse Levy (ILP). is done framework five selected loss functions. findings show that best functions Weighted Balance Loss Function (WBLF) Quadratic (QLF). usefulness model illustrated use real-life relation simulated data. empirical results comparison presented through a graphical illustration posterior distributions.
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ژورنال
عنوان ژورنال: Statistics in Transition New Series
سال: 2021
ISSN: ['1234-7655', '2450-0291']
DOI: https://doi.org/10.21307/stattrans-2021-040