科研成果详情

题名Testing inequality constraints in a linear regression model with spherically symmetric disturbances
作者
发表日期2014-11-30
发表期刊Journal of Systems Science and Complexity
ISSN/eISSN1009-6124
卷号27期号:6页码:1204-1212
摘要

This paper develops a Wald statistic for testing the validity of multivariate inequality constraints in linear regression models with spherically symmetric disturbances, and derive the distributions of the test statistic under null and nonnull hypotheses. The power of the test is then discussed. Numerical evaluations are also carried out to examine the power performances of the test for the case in which errors follow a multivariate student-t (Mt) distribution.

关键词Inequality constraint spherically symmetric distribution Wald test
DOI10.1007/s11424-014-1150-0
URL查看来源
收录类别SCIE
语种英语English
WOS研究方向Mathematics
WOS类目Mathematics, Interdisciplinary Applications
WOS记录号WOS:000345627000008
Scopus入藏号2-s2.0-84912558516
引用统计
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/7752
专题个人在本单位外知识产出
通讯作者Zhu, Rong
作者单位
1.Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing,100190,China
2.Department of Management Sciences,City University of Hong Kong,Kowloon, Hong Kong,Hong Kong
推荐引用方式
GB/T 7714
Zhu, Rong,Zhou, Sherry Zhefang. Testing inequality constraints in a linear regression model with spherically symmetric disturbances[J]. Journal of Systems Science and Complexity, 2014, 27(6): 1204-1212.
APA Zhu, Rong, & Zhou, Sherry Zhefang. (2014). Testing inequality constraints in a linear regression model with spherically symmetric disturbances. Journal of Systems Science and Complexity, 27(6), 1204-1212.
MLA Zhu, Rong,et al."Testing inequality constraints in a linear regression model with spherically symmetric disturbances". Journal of Systems Science and Complexity 27.6(2014): 1204-1212.
条目包含的文件
条目无相关文件。
个性服务
查看访问统计
谷歌学术
谷歌学术中相似的文章
[Zhu, Rong]的文章
[Zhou, Sherry Zhefang]的文章
百度学术
百度学术中相似的文章
[Zhu, Rong]的文章
[Zhou, Sherry Zhefang]的文章
必应学术
必应学术中相似的文章
[Zhu, Rong]的文章
[Zhou, Sherry Zhefang]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。