Yesilova, AbdullahKaydan, M. BoraKaya, Yilmaz2025-05-102025-05-1020102651-477X2-s2.0-77954010955https://hdl.handle.net/20.500.14720/17059Kaydan, Mehmet Bora/0000-0002-0677-255XAs 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 clays 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, zero-inflated 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).eninfo:eu-repo/semantics/closedAccessZero-Inflated Count DataOverdispersionZero-Inflated ModelsHurdle ModelsArticle392Q3Q3273282102871WOS:000280830400014