KMS Of Academy of mathematics and systems sciences, CAS
Some New Goodness-of-Fit Tests Based on Stochastic Sample Quantiles | |
Zhao, Jianxin1,2; Xu, Xingzhong1; Ding, Xiaobo3 | |
2009 | |
发表期刊 | COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION |
ISSN | 0361-0918 |
卷号 | 38期号:3页码:571-589 |
摘要 | This article introduces some new tests for goodness-of-fit based on the differences between the sample quantiles and stochastic sample quantiles derived from the null distribution. Because stochastic sample quantiles for given sample observations are random, randomized statistics are derived, of which the qth quantile and the expectation are chosen as test statistics. Under uniform hypothesis, the asymptotic distributions of some new test statistics are given, respectively. The powers of the new tests under certain alternatives are examined. They are more powerful tests for the hypotheses concerned. |
关键词 | Anderson-Darling statistic Cramer-von Mises statistic Goodness of fit Kolmogorov-Smirnov statistic Sample quantiles Stochastic sample quantiles |
DOI | 10.1080/03610910802585832 |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[10771015] |
WOS研究方向 | Mathematics |
WOS类目 | Statistics & Probability |
WOS记录号 | WOS:000207975900004 |
出版者 | TAYLOR & FRANCIS INC |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.amss.ac.cn/handle/2S8OKBNM/7434 |
专题 | 应用数学研究所 |
通讯作者 | Zhao, Jianxin |
作者单位 | 1.Beijing Inst Technol, Dept Math, Beijing 100081, Peoples R China 2.Navy Submarine Acad, Qingdao, Peoples R China 3.Chinese Acad Sci, Inst Appl Math, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Zhao, Jianxin,Xu, Xingzhong,Ding, Xiaobo. Some New Goodness-of-Fit Tests Based on Stochastic Sample Quantiles[J]. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION,2009,38(3):571-589. |
APA | Zhao, Jianxin,Xu, Xingzhong,&Ding, Xiaobo.(2009).Some New Goodness-of-Fit Tests Based on Stochastic Sample Quantiles.COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION,38(3),571-589. |
MLA | Zhao, Jianxin,et al."Some New Goodness-of-Fit Tests Based on Stochastic Sample Quantiles".COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION 38.3(2009):571-589. |
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