| 引用本文： |
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张军舰,李玲玲.修正Berk-Jones检验统计量在零假设下的极限分布[J].广西科学,2009,16(2):113-116,123. [点击复制]
- ZHANG Jun-jian,LI Ling-ling.On the Limit Null Distributions of Reversed Berk-Jones-Type Test Statistics[J].Guangxi Sciences,2009,16(2):113-116,123. [点击复制]
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| 摘要: |
| 讨论上界型修正Berk-Jones(RBJ)拟合优度检验统计量在简单零假设下的极限分布后,给出一种新的积分型RBJ检验统计量,并研究这种统计量在简单零假设下的极限分布,然后对这两种RBJ型检验与其他常用检验的功效进行模拟比较。模拟结果显示,两种RBJ型检验在我们所作的大多数模拟情况下不比常用的拟合优度检验差。 |
| 关键词: 拟合优度检验 修正Berk-Jones检验 极限分布 |
| DOI： |
| 投稿时间：2008-11-17 |
| 基金项目:国家自然科学基金项目(10661003);广西自然科学基金项目(桂科自0832102);广西师范大学博士基金项目资助 |
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| On the Limit Null Distributions of Reversed Berk-Jones-Type Test Statistics |
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ZHANG Jun-jian, LI Ling-ling
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| (College of Mathematical Sciences, Guangxi Normal University, Guilin, Guangxi, 541004, China) |
| Abstract: |
| The limit null distribution of the reversed Berk-Jones (RBJ) test statistic is investigated.In addition,a new integral-type RBJ (IRBJ) test statistic and its limit null distribution are also given.Finally,the two (RBJ,IRBJ) test statistics are compared with some existing goodness-of-fit tests by simulations.Simulation results show that the two tests are not less powerful in most cases we conducted. |
| Key words: goodness of fit reversed Berk-Jones test limit distribution |
