- Hacettepe Journal of Mathematics and Statistics
- Vol: 39 Issue: 2
- MODELING INSECT-EGG DATA WITH EXCESS ZEROS USING ZERO-INFLATED REGRESSION MODELS
MODELING INSECT-EGG DATA WITH EXCESS ZEROS USING ZERO-INFLATED REGRESSION MODELS
Authors : Abdullah Yesilova, M. Bora Kaydan, Yilmaz Kaya
Pages : 273-282
View : 19 | Download : 9
Publication Date : 2010-02-01
Article Type : Research
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 (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 (p < 0.01).Keywords : Zero-inflated count data, Overdispersion, Zero-inflated models, Hurdle models, 2000 AMS Classification: 91 G 70