寿命分布的广义扩展Marshall-Olkin族

Q4 Mathematics
M. Goldoust, A. Mohammadpour
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引用次数: 0

摘要

摘要我们引入了一个新的非负连续分布的广义族,通过两次复合幂级数分布,将两个额外的参数添加到寿命分布中,称为基线分布。这个新的家族被称为终身幂级数幂级数家族,具有平行结构的串联排列,扩展了马歇尔和奥尔金结构。讨论了四种特殊模型。给出了新分布的数学处理方法,包括常矩和不完全矩、分位数、矩生成函数和平均残差函数。使用最大似然估计技术来估计模型参数,并进行仿真研究来研究最大似然估计的性能。它的适用性也通过两个实际数据集来说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generalized extended Marshall-Olkin family of lifetime distributions
Abstract We introduce a new generalized family of nonnegative continuous distributions by adding two extra parameters to a lifetime distribution, called the baseline distribution, by twice compounding a power series distribution. The new family, called the lifetime power series-power series family, has a serial arrangement of parallel structures, which extends the Marshall and Olkin structure. Four special models are discussed. A mathematical treatment of the new distributions is provided, including ordinary and incomplete moments, quantile, moment generating and mean residual functions. The maximum likelihood estimation technique is used to estimate the model parameters and a simulation study is conducted to investigate the performance of the maximum likelihood estimates. Its applicability is also illustrated by means of two real data sets.
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来源期刊
Statistics in Transition
Statistics in Transition Decision Sciences-Statistics, Probability and Uncertainty
CiteScore
1.00
自引率
0.00%
发文量
0
审稿时长
9 weeks
期刊介绍: Statistics in Transition (SiT) is an international journal published jointly by the Polish Statistical Association (PTS) and the Central Statistical Office of Poland (CSO/GUS), which sponsors this publication. Launched in 1993, it was issued twice a year until 2006; since then it appears - under a slightly changed title, Statistics in Transition new series - three times a year; and after 2013 as a regular quarterly journal." The journal provides a forum for exchange of ideas and experience amongst members of international community of statisticians, data producers and users, including researchers, teachers, policy makers and the general public. Its initially dominating focus on statistical issues pertinent to transition from centrally planned to a market-oriented economy has gradually been extended to embracing statistical problems related to development and modernization of the system of public (official) statistics, in general.
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