A New Generalized Family of Distributions for Lifetime Data

Maha A. Aldahlan, Mohamed G. Khalil, A. Afify
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引用次数: 3

Abstract

A new class of continuous distributions called the generalized Burr X-G family is introduced. Some special models of the new family are provided. Some of its mathematical properties including explicit expressions for the quantile and generating functions, ordinary and incomplete moments, order statistics and Rényi entropy are derived. The maximum likelihood is used for estimating the model parameters. The flexibility of the generated family is illustrated by means of two applications to real data sets.
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寿命数据的一种新的广义分布族
引入了一类新的连续分布,称为广义Burr X-G族。提供了新家族的一些特殊型号。导出了它的一些数学性质,包括分位数和生成函数的显式表达式、普通矩和不完全矩、序统计量和rsamnyi熵。最大似然用于模型参数的估计。通过对两个实际数据集的应用,说明了生成族的灵活性。
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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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