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Gamma 分布族:统计性质与应用。

A family of Gamma-generated distributions: Statistical properties and applications.

机构信息

Department of Statistics, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran.

出版信息

Stat Methods Med Res. 2021 Aug;30(8):1850-1873. doi: 10.1177/09622802211009262. Epub 2021 May 18.

Abstract

In this paper, we concentrate on the statistical properties of Gamma-X family of distributions. A special case of this family is the Gamma-Weibull distribution. Therefore, the statistical properties of Gamma-Weibull distribution as a sub-model of Gamma-X family are discussed such as moments, variance, skewness, kurtosis and Rényi entropy. Also, the parameters of the Gamma-Weibull distribution are estimated by the method of maximum likelihood. Some sub-models of the Gamma-X are investigated, including the cumulative distribution, probability density, survival and hazard functions. The Monte Carlo simulation study is conducted to assess the performances of these estimators. Finally, the adequacy of Gamma-Weibull distribution in data modeling is verified by the two clinical real data sets.: 62E99; 62E15.

摘要

本文集中研究了 Gamma-X 族分布的统计性质。该族的一个特例是 Gamma-Weibull 分布。因此,讨论了 Gamma-Weibull 分布作为 Gamma-X 族的子模型的统计性质,如矩、方差、偏度、峰度和 Renyi 熵。此外,Gamma-Weibull 分布的参数通过最大似然法进行估计。研究了 Gamma-X 的一些子模型,包括累积分布、概率密度、生存和危险函数。通过蒙特卡罗模拟研究评估了这些估计器的性能。最后,通过两个临床真实数据集:62E99;62E15,验证了 Gamma-Weibull 分布在数据建模中的适宜性。

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