GOLD DISTRIBUTION Another Look on the Generalization of Lindely Distribution

IF 1.1 Q3 STATISTICS & PROBABILITY
Mohammad Al-Talib, Amjad D. Al-Nasser, E. Ciavolino
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引用次数: 1

Abstract

In this paper, a new generalization of one parameter Lindely distribution is proposed. The new distribution is a mixture distribution of Gamma distributions with fixed scale parameter and variable shape parameter. The distribution is called 'GOLD Distribution' as it is a generalization for several distributions such as exponential, Lindely, Sujatha, Amarendra, Devya and Shambhu distributions. The probability density and cumulative density functions are derived. Also, the statistical properties of the GOLD distribution are discussed. Parameter estimation using the maximum likelihood and the method of moments are given. Moreover, an illustration of the usefulness of the GOLD distribution in survival data analysis is discussed based on a real lifetime data.
GOLD分布——对Lindely分布推广的再认识
本文提出了单参数Lindely分布的一个新的推广。新分布是具有固定标度参数和可变形状参数的伽玛分布的混合分布。这种分布被称为“GOLD分布”,因为它是指数分布、Lindely分布、Sujatha分布、Amarendra分布、Devya分布和Shambhu分布等几种分布的推广。导出了概率密度函数和累积密度函数。此外,还讨论了GOLD分布的统计性质。给出了利用最大似然法和矩量法进行参数估计的方法。此外,基于实际寿命数据,讨论了GOLD分布在生存数据分析中的有用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.30
自引率
26.70%
发文量
53
期刊介绍: Pakistan Journal of Statistics and Operation Research. PJSOR is a peer-reviewed journal, published four times a year. PJSOR publishes refereed research articles and studies that describe the latest research and developments in the area of statistics, operation research and actuarial statistics.
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