An information theoretical algorithm for analyzing supersaturated designs for a binary response
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Year
: 2013DOI: 10.1007/s00184-011-0373-5
Keyword(s): Entropy,Error rates,Factor screening,Generalized linear models,Information gain,ROC,Symmetrical uncertainty
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An information theoretical algorithm for analyzing supersaturated designs for a binary response
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| contributor author | Balakrishnan, N. - Koukouvinos, C. - Parpoula, C. | |
| date accessioned | 2020-03-11T15:35:06Z | |
| date available | 2020-03-11T15:35:06Z | |
| date issued | 2013 | |
| identifier issn | 0026-1335 | |
| identifier other | 10.1007-s00184-011-0373-5.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/579233?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | Springer | |
| title | An information theoretical algorithm for analyzing supersaturated designs for a binary response | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 4432395 | |
| subject keywords | Entropy | |
| subject keywords | Error rates | |
| subject keywords | Factor screening | |
| subject keywords | Generalized linear models | |
| subject keywords | Information gain | |
| subject keywords | ROC | |
| subject keywords | Symmetrical uncertainty | |
| identifier doi | 10.1007/s00184-011-0373-5 | |
| journal title | Metrika | |
| journal volume | 76 | |
| journal issue | 1 | |
| filesize | 199364 | |
| citations | 0 |