Testing linear hypotheses of mean vectors for high dimension data with unequal covariance matrices
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Year
: 2013DOI: 10.1016/j.jspi.2013.07.008
Keyword(s): Cornish–Fisher transform,Dempster trace criterion,High dimensionality,Multivariate Behrens–Fisher problem,(N,p)
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Testing linear hypotheses of mean vectors for high dimension data with unequal covariance matrices
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| date accessioned | 2020-03-11T15:35:03Z | |
| date available | 2020-03-11T15:35:03Z | |
| date issued | 2013 | |
| identifier issn | 0378-3758 | |
| identifier other | 10.1016-j.jspi.2013.07.008.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/579202?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | Elsevier Science | |
| title | Testing linear hypotheses of mean vectors for high dimension data with unequal covariance matrices | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 4432363 | |
| subject keywords | Cornish–Fisher transform | |
| subject keywords | Dempster trace criterion | |
| subject keywords | High dimensionality | |
| subject keywords | Multivariate Behrens–Fisher problem | |
| subject keywords | (N,p) | |
| identifier doi | 10.1016/j.jspi.2013.07.008 | |
| journal title | Journal of Statistical Planning and Inference | |
| journal volume | 143 | |
| journal issue | 11 | |
| filesize | 306622 | |
| citations | 0 | |
| contributor rawauthor | Nishiyama, Takahiro - Hyodo, Masashi - Seo, Takashi - Pavlenko, Tatjana |