We introduce a four-parameter distribution, called the Zografos- Balakrishnan gamma Burr XII distribution. Our purpose is to provide a Burr XII generalization that may be useful to still more complex situations. The new distribution may be an inter-esting alternative to describe income distributions and can also be applied in actuarial science, finance, bioscience, telecommunications and modelling lifetime data, for example. It contains as special sub-models some well-known distributions, such as the log-logistic, Weibull, Lomax and Burr XII distributions, among others. Some of its properties are investigated. The method of maximum likelihood is used for estimating the model pa- rameters. We provide an application to real data to demonstrate the usefulness of the proposed distribution. Since the Ristić-Balakrishnan gamma Burr XII distribution have similar structure to the studied distribution, we also present some of its mathematical properties and expansions.
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