A comparative study of Generalized Estimating Equations (GEE) and General Regression Neural Networks (GRNN) to assess the production of poultry breeders

dc.contributor.authorHapugoda,J.C..Department of Statistics, University of Colombo, Colombo 03
dc.contributor.authorDe S Perera,D.B.U.S..Department of Statistics, University of Colombo, Colombo 03
dc.contributor.authorDeshani<K.A.D..Department of Statistics, University of Colombo, Colombo 03
dc.date.accessioned2026-07-13T18:35:10Z
dc.date.issued2013
dc.identifier.urihttp://vidya.nsf.gov.lk:8080/pdfs/vidslaas/2013/522E1.pdf
dc.identifier.urihttps://viduketha.nsf.gov.lk/handle/123456789/11987
dc.language.isoEnglish
dc.publisherSri Lanka Association for the Advancement of Science Proceedings of the 69th Annual Sessions - 2013. Part 1
dc.subjectPhysical Sciences
dc.subject-
dc.titleA comparative study of Generalized Estimating Equations (GEE) and General Regression Neural Networks (GRNN) to assess the production of poultry breeders
dc.typeArticle

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