有序处理连续比较的置信区间(英文)  

Confidence Intervals for Successive Comparisons of Ordered Treatment Effects

作　　者：赵海兵[1] 

机构地区：[1]上海财经大学统计与管理学院,上海200433

出　　处：《应用概率统计》2009年第6期561-570,共10页Chinese Journal of Applied Probability and Statistics

摘　　要：Leeand Spurrier[8]为有序均值的连续比较提出了一个新的检验过程.他们的过程对满足简单序的均值有重要的应用价值,例如在研究增长剂量对药物效用的影响.与其它检验过程相比(例:Hayter[4]中的检验),其优点在于产生了更短的连续比较的置信限,从而能够提供更多机会发现在何药剂量处有不同的效用.但作为有序均值的齐性检验,它的势表现远劣于其它检验.本文的目的是提出一检验过程在尽量保持Leeand Spurrier[8]检验的优点的同时大大地提高其势表现.Lee and Spurrier present a new procedure for making successive comparisons between or- dered treatments. Their procedure has important applications for problems where the treatments can be assumed to satisfy a simple ordering, such as for a sequence of increasing dose-levels of a drug. The advantage of their procedure is that it provides more chance to detect when changes in the treatment means occur than other test procedures （for example： test in Hayter）. The disadvantage of their procedure is that it is not as powerful as other test procedures. In this paper we propose a test procedure which try to keep the advantage of Lee and Spurrier＇s procedure and promote the power performance of their test procedure.

关 键 词：简单序 成对比较 同时置信区间 

分 类 号：O212.1[理学—概率论与数理统计] TE972.07[理学—数学]