Demand forecasting for domestic air transportation in Turkey

dc.contributor.advisor	Tunç, Enar Ahmet
dc.contributor.author	Sivrikaya, Orhan
dc.date.accessioned	2021-05-08T10:33:06Z
dc.date.available	2021-05-08T10:33:06Z
dc.date.submitted	2013
dc.date.issued	2018-08-06
dc.identifier.uri	https://acikbilim.yok.gov.tr/handle/20.500.12812/673458
dc.description.abstract	Türkiye'de iç hat havayolu yolcu tahmini modelini, klasik yönteme göre karşılaştırmalı olarak yapay zeka yöntemini kullanarak geliştirmek ve sonuçlarını sınayarak tahmin performansını ölçmek.
dc.description.abstract	The study aims to develop a demand forecasting model for domestic air transportation in Turkey by applying neural network in comparison with multivariate regression model and to assess prediction performance of it.	en_US
dc.language	English
dc.language.iso	en
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	Attribution 4.0 United States	tr_TR
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject	Ulaşım	tr_TR
dc.subject	Transportation	en_US
dc.title	Demand forecasting for domestic air transportation in Turkey
dc.title.alternative	Türkiye'de içhat havayolu talep tahmini
dc.type	doctoralThesis
dc.date.updated	2018-08-06
dc.contributor.department	İşletme Yönetimi Ana Bilim Dalı
dc.identifier.yokid	10002738
dc.publisher.institute	Sosyal Bilimler Enstitüsü
dc.publisher.university	OKAN ÜNİVERSİTESİ
dc.identifier.thesisid	347979
dc.description.pages	101
dc.publisher.discipline	Diğer

Except where otherwise noted, this item's license is described as info:eu-repo/semantics/openAccess