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

页码：455 / 460

页数：6

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