Başlık için İstatistik Bölümü Tez Koleksiyonu listeleme
Toplam kayıt 112, listelenen: 106-112
-
Yaşam Çözümlemesinde İyileşme Modelleri
(Fen Bilimleri Enstitüsü, 2017)Survival analysis is generally defined as a group of statistical methods for analyzing the data where the outcome variable is the time until the occurrence of an event of interest. Various statistical models differ than ... -
Yaşam Çözümlemesinde Kümelenmiş Başarısızlık Süresi
(Fen Bilimleri Enstitüsü, 2018)Survival analysis is a collection of statistical methods for analyzing data where the outcome variable is the time until the occurrence of an event of interest. The time is called "failure time" or "survival time". Here, ... -
Yaşam Çözümlemesinde Yapısal Eşitlik Modelleri
(Fen Bilimleri Enstitüsü, 2019)Survival analysis is a collection of statistical methods developed to examine the time elapsed until a given event occurs. The fact that the exact time of occurrence of the event is not known is defined as a discrete-time ... -
Yaşam Çözümlemesinde Zayıflık Modelleri
(Fen Bilimleri Enstitüsü, 2015)The subject of survival analysis is the status of an event, whether it takes place or not in an observation process. Various statistical methods differ than classical methods have been used in survival analysis.The Cox ... -
Yaşam Verilerinin Meta Analizi
(Fen Bilimleri Enstitüsü, 2013)Nowadays, with the increasing number of studies, it is conferred that many studies conducted with different samples on the same topic, have different results from each other. Meta analysis is the statistical method which ... -
Yazılım Test Planlama ve Raporlama Aracı'nın Tasarlanması ve Kodlanması
(Fen Bilimleri Enstitüsü, 2019-09-27)In today's software world, besides increasing the expectation of quality software, planning of software testing activities and efficient use of resources is gaining importance due to constraints of qualified personnel, ... -
Yinelemeli Sinir Ağları ile Finansal Veri Tahmini
(Fen Bilimleri Enstitüsü, 2020-08)Recurrent Neural Network is an artificial neural network model which the outputs are re-included to network input in every iteration. The biggest advantage of recurrent neural networks is that they consider the variation ...