A Conditional Test for a Non-negative Mean Vector Based on a Hotelling'sT2-Type Statistic
AbstractA conditional test based on a Hotelling'sT2-type statistic is derived for significance of a multivariate mean having non-negative components. This test is shown to be uniformly more powerful than the unconditional test given by Silvapulle. The consistency and invariance of the new test are also established
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Multivariate Analysis.
Volume (Year): 66 (1998)
Issue (Month): 1 (July)
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Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description
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- Abadir, Karim M. & Distaso, Walter, 2007.
"Testing joint hypotheses when one of the alternatives is one-sided,"
Journal of Econometrics,
Elsevier, vol. 140(2), pages 695-718, October.
- K Abadir & W Distaso, . "Testing joint hypotheses when one of the alternatives is one-sided," Discussion Papers 05/13, Department of Economics, University of York.
- Li, Gang & Gao, Xiong & Huang, Minqiang, 2003. "Testing multivariate one-sided hypotheses," Statistics & Probability Letters, Elsevier, vol. 64(1), pages 63-68, August.
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