TY - JOUR T1 - Farklı parametrizasyon tekniklerinin Saurida lessepsianus (Russell, Golani & Tikochinski, 2015)’un von Bertalanffy büyüme parametrelerinin tahminine etkisi TT - Effect of different parametrization methods on von Bertalanffy growth model of Saurida lessepsianus (Russell, Golani & Tikochinski, 2015) AU - Gündoğdu, Sedat AU - Baylan, Makbule PY - 2016 DA - January DO - 10.12714/egejfas.2015.32.4.05 JF - Ege Journal of Fisheries and Aquatic Sciences JO - EgeJFAS PB - Ege Üniversitesi WT - DergiPark SN - 2148-3140 SP - 205 EP - 208 VL - 32 IS - 4 LA - tr AB - Bu çalışmada Saurida lessepsianus’un von Bertalanffy büyüme modeli parametreleri tahminine, farklı parametrizasyon tekniklerinin etkisi incelenmiştir. Bu amaçla Galucci ve Quinn parametrizasyonu, Mooij parametrizasyonu, Francis parametrizasyonu ve Schnute parametrizasyonu kullanılmıştır. Akaike Bilgi Kriteri (AIC), güvenirlik aralıkları ve parametreler arası korelasyonlar yardımıyla modeller karşılaştırılmıştır. Buna göre en uygun parametrizasyon yönteminin Francis parametrizasyon yöntemi olduğu tespit edilmiştir. KW - Saurida lessepsianus KW - von Bertalanffy büyüme modeli KW - Francis parametrizasyonu N2 - In this study, effect of different parametrization on the von Bertalannfy growth model of Saurida lessepsianus has been investigated. For this purpose, Galucci and Quinn parametrization, Mooij parametrization, Francis parametrization and Schnute parametrization were used. Reparametrizated models have been compared via Akaike Information Criterion (AIC), confidence intervals and parameter correlations. Hence Francis parametrization method has been found as the most suitable parametrization method. CR - Baty, F., Ritz, C., Charles, S., Brutsche, M., Flandrois, J.P., Delignette Muller, M.L., 2014. A toolbox for nonlinear regression in R: the package nlstools. Journal of Statistical Software, 66(5):1-21. CR - Beverton, R.J., 1994. 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UR - https://doi.org/10.12714/egejfas.2015.32.4.05 L1 - https://dergipark.org.tr/tr/download/article-file/159812 ER -