A New Generating Family of Distributions: Properties and Applications to the Weibull Exponential Model

E. A. El-Sherpieny, S. Assar, Tamer S. Helal
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引用次数: 1

Abstract

A new method for generating family of distributions was proposed. Some fundamental properties of the new proposed family include the quantile, survival function, hazard rate function, reversed hazard and cumulative hazard rate functions are provided. This family contains several new models as sub models, such as the Weibull exponential model which was defined and discussed its properties. The maximum likelihood method of estimation is using to estimate the model parameters of the new proposed family. The flexibility and the importance of the Weibull-exponential model is assessed by applying it to a real data set and comparing it with other known models.
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一种新的分布生成族:性质及其在威布尔指数模型中的应用
提出了一种生成分布族的新方法。给出了新家族的一些基本性质,包括分位数、生存函数、危险率函数、反向危险率函数和累积危险率函数。该族包含了几个新模型作为子模型,如定义了威布尔指数模型并讨论了它的性质。利用极大似然估计方法对新提出的族的模型参数进行估计。通过将威布尔指数模型应用于实际数据集,并与其他已知模型进行比较,评价了威布尔指数模型的灵活性和重要性。
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来源期刊
CiteScore
0.50
自引率
0.00%
发文量
5
期刊介绍: The Journal of Modern Applied Statistical Methods is an independent, peer-reviewed, open access journal designed to provide an outlet for the scholarly works of applied nonparametric or parametric statisticians, data analysts, researchers, classical or modern psychometricians, and quantitative or qualitative methodologists/evaluators.
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