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来自于Multiple-Outlier模型的最小次序统计量序性质(英文)
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作者 程美芳 方龙祥 杨芳 《应用概率统计》 CSCD 北大核心 2017年第3期317-330,共14页
本文中,我们研究来自于两个multiple-outlier模型的最小次序统计量的随机比较,其中两个模型中独立同分布的随机变量个数不同.令X_(1:n)(p,q)和X_(1:n~*)(p~*,q~*)分别表示来自于X_1,…,X_p,X_(p+1),…,X_n和X_1,…,X_(p),X_(p~*+1),…,X... 本文中,我们研究来自于两个multiple-outlier模型的最小次序统计量的随机比较,其中两个模型中独立同分布的随机变量个数不同.令X_(1:n)(p,q)和X_(1:n~*)(p~*,q~*)分别表示来自于X_1,…,X_p,X_(p+1),…,X_n和X_1,…,X_(p),X_(p~*+1),…,X_(n)的最小次序统计量,这里q=n-p,q~*=n~*-p~*.在参数(p,q)和(p~*,q~*)满足某些优化序条件下,我们根据普通随机序,失效率序和似然比序给出了X_(1:n)(p,q)和X_(1:n~*)(p~*,q~*)的序比较. 展开更多
关键词 multiple-outlier模型 普通随机序 失效率序 似然比序 最小次序统计量 比例失效率模型
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Dispersive Order of Lifetimes of Series Systems in Multiple-Outlier Weibull Models
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作者 FANG Longxiang BARMALZAN Ghobad LING Jie 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2016年第6期1693-1702,共10页
This paper considers the multiple-outlier Weibull model, and derives some sui-ficlent conal- tions for the comparison of lifetimes of series systems with respect to dispersive order. In these models, order statistic i... This paper considers the multiple-outlier Weibull model, and derives some sui-ficlent conal- tions for the comparison of lifetimes of series systems with respect to dispersive order. In these models, order statistic is closed under minima, so convex transform, star and Lorenz orders are not investigated because they are scale variant. The results established here strengthen some of the results presented by Fang and Tang (2014). 展开更多
关键词 Dispersive order multiple-outlier Weibull model scale invariant order series systems.
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Some Ordering Results for the Marshall and Olkin’s Family of Distributions
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作者 Sangita Das Suchandan Kayal 《Communications in Mathematics and Statistics》 SCIE 2021年第2期153-179,共27页
In this paper,we consider Marshall and Olkin’s family of distributions.The parent(baseline)distribution is taken to be a scaled family of distributions.Two models:(i)modified proportional hazard rate scale and(ii)mod... In this paper,we consider Marshall and Olkin’s family of distributions.The parent(baseline)distribution is taken to be a scaled family of distributions.Two models:(i)modified proportional hazard rate scale and(ii)modified proportional reversed hazard rate scale,are considered.Some stochastic comparison results in terms of the usual stochastic,hazard rate and reversed hazard rate orders are studied to compare order statistics formed from two sets of independent observations following these models.Most of the sufficient conditions are obtained depending on various majorizationtype partial orderings.Further,the setup with multiple-outlier model is taken.Various stochastic orders between the smallest and largest order statistics are developed.Several numerical examples are provided to illustrate the effectiveness of the established theoretical results. 展开更多
关键词 Majorization MPHRS and MPRHRS models Stochastic orders multiple-outlier models Order statistics
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