A Boyesian decision theory approche to sereening and classification with large samples results

Simple item page
dc.contributor.authorMouhab, Abderrahmane
dc.date.accessioned2016-03-09T09:51:48Z
dc.date.available2016-03-09T09:51:48Z
dc.date.issued1991
dc.description111 p. ; ill , 30cm.fr_FR
dc.identifier.urihttp://hdl.handle.net/123456789/4701
dc.language.isoenfr_FR
dc.subjectMathématiquesfr_FR
dc.subjectStatistique, mathématiquefr_FR
dc.titleA Boyesian decision theory approche to sereening and classification with large samples resultsfr_FR
dc.typeThesisfr_FR

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
mouhab abderrahmane.pdf
Size:
148.56 KB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Théses de Doctorat