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k-紀錄值的伴隨分佈性質之研究 = Some Distributiona...

國立高雄大學統計學研究所

k-紀錄值的伴隨分佈性質之研究 = Some Distributional Properties of Concomitants of k-Records

Record Type:	Language materials, printed : monographic
Paralel Title:	Some Distributional Properties of Concomitants of k-Records
Author:	李暄毅,
Secondary Intellectual Responsibility:	國立高雄大學
Place of Publication:	[高雄市]
Published:	撰者;
Year of Publication:	2012[民101]
Description:	27面圖，表格 : 30公分;
Subject:	伴隨
Subject:	concomitants
Online resource:	http://handle.ncl.edu.tw/11296/ndltd/19449730145083977065
Notes:	參考書目：面21
Notes:	內容為英文
Summary:	在本論文中，我們首先定義一多元擬韋伯分佈為一n個韋伯隨機變數的複合分佈，並探討其動差性質。其次，考慮由多元擬韋伯分佈所生成k-紀錄值的伴隨，探討其相關的分佈、乘積動差、條件動差及熵。最後，針對兩個其它不同的分佈，推導其所生成k-紀錄值伴隨之動差。 In this paper, first we define a new multivariate pseudo-Weibull distribution as a compound distribution of n Weibull random variables. The distributions of concomitants of k-records from multivariate pseudo-Weibull distribution will be derived. Some single and product moments, conditional moments and entropies have also been presented. Finally, considering two other distributions, some moments of concomitants of k-records will also be investigated.

k-紀錄值的伴隨分佈性質之研究 = Some Distributional Properties of Concomitants of k-Records
李, 暄毅

k-紀錄值的伴隨分佈性質之研究 = Some Distributional Properties of Concomitants of k-Records / 李暄毅撰 - [高雄市] : 撰者, 2012[民101]. - 27面 ; 圖，表格 ; 30公分.
參考書目：面21內容為英文.
伴隨concomitants

k-紀錄值的伴隨分佈性質之研究 = Some Distributional Properties of Concomitants of k-Records
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300 $a 參考書目：面21
300 $a 內容為英文
314 $a 指導教授：蘇志成博士
328 $a 碩士論文--國立高雄大學統計學研究所
330 $a 在本論文中，我們首先定義一多元擬韋伯分佈為一n個韋伯隨機變數的複合分佈，並探討其動差性質。其次，考慮由多元擬韋伯分佈所生成k-紀錄值的伴隨，探討其相關的分佈、乘積動差、條件動差及熵。最後，針對兩個其它不同的分佈，推導其所生成k-紀錄值伴隨之動差。 In this paper, first we define a new multivariate pseudo-Weibull distribution as a compound distribution of n Weibull random variables. The distributions of concomitants of k-records from multivariate pseudo-Weibull distribution will be derived. Some single and product moments, conditional moments and entropies have also been presented. Finally, considering two other distributions, some moments of concomitants of k-records will also be investigated.
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