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TitleTesting inequality constraints in a linear regression model with spherically symmetric disturbances
Creator
Date Issued2014-11-30
Source PublicationJournal of Systems Science and Complexity
ISSN1009-6124
Volume27Issue:6Pages:1204-1212
Abstract

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.

KeywordInequality constraint spherically symmetric distribution Wald test
DOI10.1007/s11424-014-1150-0
URLView source
Indexed BySCIE
Language英语English
WOS Research AreaMathematics
WOS SubjectMathematics, Interdisciplinary Applications
WOS IDWOS:000345627000008
Scopus ID2-s2.0-84912558516
Citation statistics
Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/7752
CollectionResearch outside affiliated institution
Corresponding AuthorZhu, Rong
Affiliation
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
Recommended Citation
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.
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