中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 数学与系统科学研究院
  3. 中国科学院数学与系统科学研究院
Integral-type tests for goodness-of-fit

文献类型：期刊论文

作者Zhang, Junjian1,2; Li, Guoying3
刊名JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY
出版日期2010-08-01
卷号23期号:4页码:784-795
关键词Asymptotic distribution goodness-of-fit integral-type tests power comparison
ISSN号1009-6124
DOI10.1007/s11424-010-8264-9
英文摘要A family of integral-type goodness-of-fit tests is investigated. This family includes some existing tests, such as the Cram,r-von Mises test and Anderson-Darling test, etc. The asymptotic distributions of the tests in the family under the null and local alternative hypotheses are established. The almost sure convergence under a fixed underlying distribution is obtained. Furthermore, simulations are conducted to compare the powers of the tests in the family. Simulation results show that for different alternatives, the more powerful tests are different, and the parameter lambda has great influence on the tests in small sample cases.
资助项目National Natural Science Foundation of China[10661003] ; National Natural Science Foundation of China[10371126] ; Guangxi Science Foundation[0832102] ; Doctor Foundation of Guangxi Normal University
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000281705600009
出版者SPRINGER HEIDELBERG
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/9278]  
专题中国科学院数学与系统科学研究院
通讯作者Zhang, Junjian
作者单位1.Guangxi Normal Univ, Coll Math, Guilin 541004, Peoples R China
2.Beijing Univ Technol, Coll Appl Sci, Beijing 100124, Peoples R China
3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Junjian,Li, Guoying. Integral-type tests for goodness-of-fit[J]. JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,2010,23(4):784-795.
APA Zhang, Junjian,&Li, Guoying.(2010).Integral-type tests for goodness-of-fit.JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,23(4),784-795.
MLA Zhang, Junjian,et al."Integral-type tests for goodness-of-fit".JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY 23.4(2010):784-795.

入库方式： OAI收割

来源：数学与系统科学研究院

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。