YYÜ GCRIS Basic veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.
 

Modeling the Mite Counts Having Overdispersion and Excess Values of Zero Using Zero-Inflated Generalized Poisson Regression

dc.authorscopusid 22036852300
dc.authorscopusid 36185339500
dc.contributor.author Yesilova, A.
dc.contributor.author Kaki, B.
dc.date.accessioned 2025-05-10T17:00:50Z
dc.date.available 2025-05-10T17:00:50Z
dc.date.issued 2016
dc.department T.C. Van Yüzüncü Yıl Üniversitesi en_US
dc.department-temp Yesilova A., Biometry and Genetics Unit, Faculty of Agriculture, University of Yuzuncu Yil, Van, 65080, Turkey; Kaki B., Biometry and Genetics Unit, Faculty of Agriculture, University of Yuzuncu Yil, Van, 65080, Turkey, Usak University, Faculty of Economics and Administrative Sciences, Department of Econometry, 1 Eylul Kampusu, Usak, 64000, Turkey en_US
dc.description.abstract The aim of this study was to apply for zero-inflated generalized Poisson regression in the modelling of mite counts that include excess values of zero and overdispersion. The results of zigp(μi,-i,ωi, as mean regression, overdispersion and zero-inflated regression, were determined in three stages. It was obtained that 33.33% (120 observations) of the total numbers of mite taken as a dependent variable to model had zero values. The over dispersion parameter range was detected to be quite high. It was determined that zero-inflated data and overdispersion had an important effect on mite counts (P< 0.01). The effects of region, month, year, varieties, temperature and humidity were found to be statistically significant on mite counts (P< 0.01). The number of eggs found in harmful mites (Aculus schlechtendali) in the Starking variety was relatively higher than in the Golden variety. The results displayed that the differences among regions and varieties regarding the number of eggs found in harmful mites were statistically significant (P<0.01). © 2016 Indian J. Agric. Res. en_US
dc.identifier.doi 10.18805/ijare.v50i6.6674
dc.identifier.endpage 566 en_US
dc.identifier.issn 0367-8245
dc.identifier.issue 6 en_US
dc.identifier.scopus 2-s2.0-85007618568
dc.identifier.scopusquality Q4
dc.identifier.startpage 561 en_US
dc.identifier.uri https://doi.org/10.18805/ijare.v50i6.6674
dc.identifier.uri https://hdl.handle.net/20.500.14720/4966
dc.identifier.volume 50 en_US
dc.identifier.wosquality N/A
dc.language.iso en en_US
dc.publisher Agricultural Research Communication Centre en_US
dc.relation.ispartof Indian Journal of Agricultural Research en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Mite Counts en_US
dc.subject Overdispersion en_US
dc.subject Poisson Regression en_US
dc.subject Zero-Inflated Data en_US
dc.title Modeling the Mite Counts Having Overdispersion and Excess Values of Zero Using Zero-Inflated Generalized Poisson Regression en_US
dc.type Article en_US

Files