A New Goodness-of-Fit Test for Grouped Data

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.

关键词： Grouped Data Goodness-of-Fit Survival Ratio Method K-S Test Test Power

作者: Jin Qin Jun Yang

作者单位: School of Reliability and System Engineering, Beihang University, Xueyuan Road, 37, Beijing

会议类型: 国际会议

会议名称: 2012 International Conference on Advanced Materials Design and Machanics(2012先进材料设计与机械学国际会议 ICAMDM 2012)

会议地点: 厦门

会议语种:英文

页码: 455-460

在线出版日期: 2012-06-05（万方平台首次上网日期，不代表论文的发表时间）