來自于Multiple-Outlier模型的最小次序統(tǒng)計量序性質(zhì)(英文)
發(fā)布時間:2018-11-03 09:13
【摘要】:本文中,我們研究來自于兩個multiple-outlier模型的最小次序統(tǒng)計量的隨機比較,其中兩個模型中獨立同分布的隨機變量個數(shù)不同.令X_(1:n)(p,q)和X_(1:n~*)(p~*,q~*)分別表示來自于X_1,…,X_p,X_(p+1),…,X_n和X_1,…,X_(p),X_(p~*+1),…,X_(n)的最小次序統(tǒng)計量,這里q=n-p,q~*=n~*-p~*.在參數(shù)(p,q)和(p~*,q~*)滿足某些優(yōu)化序條件下,我們根據(jù)普通隨機序,失效率序和似然比序給出了X_(1:n)(p,q)和X_(1:n~*)(p~*,q~*)的序比較.
[Abstract]:In this paper, we study the random comparison of the minimum order statistics from two multiple-outlier models, in which the number of independent and distributed random variables is different. Let X _ (1: n) (PQ) and X _ (1: n *) (p1: n *) denote respectively from X _ (1: n), 鈥,
本文編號:2307347
[Abstract]:In this paper, we study the random comparison of the minimum order statistics from two multiple-outlier models, in which the number of independent and distributed random variables is different. Let X _ (1: n) (PQ) and X _ (1: n *) (p1: n *) denote respectively from X _ (1: n), 鈥,
本文編號:2307347
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