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首页> 外文期刊>International Journal of Applied Mathematics & Statistics >On Generating T-X Family of Pareto-Exponential Distribution with Properties and Applications
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On Generating T-X Family of Pareto-Exponential Distribution with Properties and Applications

机译:用属性和应用生成T-X系列静脉指数分布

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摘要

The Pareto distribution plays an important role in the theory and application of statistics. We introduced a new family of continuous distribution generating from Pareto random variable called the Pareto-X family or T-X family of Pareto-Exponential (PE) distribution. Various mathematical properties including L-moments, mean deviation, moment generating function (MGF), cumulative generating function, characteristic function and quantile function of the Pareto-Exponential distribution have been derived. To check the reliability of a system some reliability measures as reliability function, hazard rate, cumulative hazard rate, reversed hazard rate and mean residuals lifetime have also been discussed. Lorenz and Bonferroni curves, Renyi, Q and Shannon entropies have been determined to measure the inequality and uncertainty. The expression of order statistics from the new distribution is derived. Parameters for the proposed model are estimated by maximum likelihood estimation (MLE) and method of moments (MOM). A real-life data is applied to illustrate the comparison of the new distribution with the existing distributions in the literature.
机译:帕累托分布在统计的理论和应用中起着重要作用。我们介绍了一系列新的连续分布系列从帕累托随机变量产生,称为帕累托-X系列或T-X系列帕累托 - 指数(PE)分布。已经导出了各种数学属性,包括L-矩,平均偏差,矩),累积产生函数,特征函数和据级指数分布的累积函数。为了检查系统的可靠性,还讨论了可靠性函数,危险率,累积危险率,逆转危险率和平均剩余寿命。 Lorenz和Bonferroni曲线,仁怡,Q和Shannon Entopies已经决定衡量不平等和不确定性。推导出来自新分布的顺序统计的表达。通过最大似然估计(MLE)和时刻(MOM)的方法来估计所提出的模型的参数。应用现实生活数据来说明与文献中的现有分布的新分布的比较。

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