Modeling insect-egg data with excess zeros using zero-inflatedregression models.Hacettepe Journal of Mathematics and Statistics. 39(2): 273-282

dc.contributor.author	Yeşilova, Abdullah
dc.contributor.author	Kaydan, Bora
dc.contributor.author	Kaya, Yılmaz
dc.date.accessioned	2017-05-08T16:44:07Z
dc.date.available	2017-05-08T16:44:07Z
dc.date.issued	2010
dc.department	Belirlenecek	en_US
dc.description.abstract	As zero-inflated observations occur very often in studies on plant pro?tection, models taking into account zero-inflated observations are fre?quently 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, 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).	en_US
dc.identifier.uri	https://hdl.handle.net/20.500.12604/531
dc.language.iso	en	en_US
dc.relation.publicationcategory	Uluslararası Hakemli Dergi Makalesi	en_US
dc.rights	info:eu-repo/semantics/openAccess	en_US
dc.snmz	#KayıtKontrol#
dc.subject	Zero-inflated count data, Overdispersion, Zero-inflated models, Hurdle Models	en_US
dc.title	Modeling insect-egg data with excess zeros using zero-inflatedregression models.Hacettepe Journal of Mathematics and Statistics. 39(2): 273-282	en_US
dc.type	Article	en_US

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