A New Goodness-of-Fit Test for Grouped Data

被引：0
|
作者：
Qin, Jin [1 ]
Yang, Jun [1 ]
机构：
[1] Beihang Univ, Sch Reliabil & Syst Engn, Beijing, Peoples R China
来源：
ADVANCED MATERIALS DESIGN AND MECHANICS | 2012年 / 569卷
关键词：
Grouped Data; Goodness-of-Fit; Survival Ratio Method; K-S Test; Test Power;
D O I：
10.4028/www.scientific.net/AMR.569.455
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In data analysis of reliability, the traditional goodness-of-fit test is not applicable for grouped data under some circumstances. In this paper, a Kolmogorov-Smirnov test based on survival ratio method is proposed to determine the distribution type of grouped data. The power of the proposed test and other well-known goodness-of-fit tests are compared by Monte Carlo simulation, and the results show that the proposed test method is more powerful.
引用
收藏
页码：455 / 460
页数：6
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