广义Lindley分布及其在贝叶斯估计下的应用

M. Alizadeh, V. Ranjbar, Abbas Eftekharian, O. Kharazmi
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引用次数: 0

摘要

介绍了林德利分布的四参数扩展及其在寿命数据中的应用。它被称为扩展marshall - olkin广义林德利分布。导出了矩、偏度、峰度和极值等数学性质。这些性质与密度和危险函数的图显示了上述分布的高度灵活性。对所提出的分布参数的极大似然估计及其渐近性质进行了研究。给出了一种研究极大似然估计性能的仿真研究。此外,通过两个实际数据集与林德利分布的几种推广进行比较,研究了新分布的性能和灵活性。最后给出了基于两组数据集的贝叶斯分析和Gibbs抽样的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Extended Lindley Distribution with Application to Lifetime Data with Bayesian Estimation
A four-parameter extended of Lindley distribution with application to lifetime data is introduced.It is called extended Marshal-Olkin generalized Lindley distribution. Some mathematical propertiessuch as moments, skewness, kurtosis and extreme value are derived. These properties with plotsof density and hazard functions are shown the high flexibility of the mentioned distribution. Themaximum likelihood estimations of proposed distribution parameters with asymptotic properties ofthese estimations are examined. A simulation study to investigate the performance of maximumlikelihood estimations is presented. Moreover, the performance and flexibility of the new distributionare investigated by comparing with several generalizations of Lindley distribution through two realdata sets. Finally, Bayesian analysis and efficiency of Gibbs sampling are provided based on the tworeal data sets.
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