MODELING INSECT-EGG DATA WITH EXCESS ZEROS USING ZERO-INFLATED REGRESSION MODELS

Authors : Abdullah YESİLOVA, M. Bora KAYDAN, Yilmaz KAYA

Pages : 273-282

View : 18 | Download : 4

Publication Date : 2010-02-01

Article Type : Research Paper

Abstract :As zero-inflated observations occur very often in studies on plant protection, models taking into account zero-inflated observations are frequently required. Especially, zero-inflated observations occur in large numbers for insects whose post-oviposition period lasts long, or that generally lay their eggs during the first days of the oviposition period. For the data used in this study, 1114 insert ignore into journalissuearticles values(43.84%); of the 2541 observations were zero. In the selection of an appropriate regression model, zeroinflated negative binomial regression was chosen as the best model. In all regression models, the day of laying and the three different hosts were seen to have a significant effect on daily egg numbers insert ignore into journalissuearticles values(p < 0.01);.
Keywords : Zero inflated count data, Overdispersion, Zero inflated models, Hurdle models, 2000 AMS Classification 91 G 70