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Toplam kayıt 214, listelenen: 181-190
Yapay Sinir Ağları ve Regresyon Yöntemleri ile Hisse Senedi Getirilerinin Tahmini: Bist-30 Üzerine Bir Uygulama
(Fen Bilimleri Enstitüsü, 2021)
With the rapid development of technology in the world in recent years, many innovations have emerged in the field of artificial intelligence. With these innovations, one of the most used areas of artificial intelligence ...
Uyarlanabilir Küme Örneklemesinde Oransal Tahminler
(Fen Bilimleri Enstitüsü, 2018)
In this study, simple and ratio estimators of Horvitz-Thompson and Hansen-Hurwitz are investigated in the literature in order to obtain an estimate of population mean in adaptive cluster sampling. These estimators do not ...
THE IMPORTANCE OF FAT-TAILED AND SKEWED DISTRIBUTIONS IN MODELING VALUE-AT-RISK
(Fen Bilimleri Enstitüsü, 2018)
Most of the Value-at-Risk models assume that financial returns are normally distributed, despite the fact that they are commonly known to be left skewed, fat-tailed and excess kurtosis. Forecasting Value-at-Risk with ...
ARDL Model Bounds Test Approach: The Case of Turkey
(Fen Bilimleri Enstitüsü, 2017)
In the econometric literature, ARDL bounds testing approach proposed by Pesaran
and Shin [16], improved Pesaran et al. [17], and Toda-Yamamoto causality
procedures [12] are widely used in empirical analysis because the ...
Risk Analizinde Bulanık Mantığın Kullanılmasına Yönelik Bir Uygulama Çalışması
(Fen Bilimleri Enstitüsü, 2018)
In order to be able to produce solutions to the problems we face in our daily lives, researchers are trying to transfer the focused processes to analysis systems as realistically as possible. The success of implementation ...
Türkiye'deki İllerin Havayolu Taşımacılığına Yönelik Performanslarının Veri Zarflama ve Temel Bileşenler Analizi ile Değerlendirilmesi
(Fen Bilimleri Enstitüsü, 2021-02-24)
In this study, the relationship between statistical indicators of provinces in Turkey and air transportation statistics will be examined. First of all, the statistics related to the provinces included in the TUIK Provincial ...
Bayesci grafik modelleri
(Fen Bilimleri Enstitüsü, 2001)
Posterior distributions obtained by Bayesian approach usually have high dimensions when the models are rather complicated. Therefore, to reach the marjinal distributions from the models is analitically intractable. The aim ...
Covid-19 Verileri İçin Bayes Ağları İle Makine Öğrenmesi
(Fen Bilimleri Enstitüsü, 2022)
The Covid-19 pandemic emerged on November 17, 2019, in Wuhan Province of China. The outbreak was initially detected in those found in the seafood and animal market in this region. Later, it spread from person to person and ...
Seyahat Süresi Değişkenliğinin Analizi ve Yapay Sinir Ağları ile Seyahat Süresinin Tahmini
(Fen Bilimleri Enstitüsü, 2022)
Analysis of travel times helps people determine their travel behavior. Knowing the variability and reliability of previous travel times when going from one place to another can make good use of time. In this study, the ...
Göreli Yaşam Çözümlemesi
(Fen Bilimleri Enstitüsü, 2022)
In observational survival analysis studies with long follow-up periods, cause of death information may not be available or there may be some lack of information. In survival analysis, it may not be possible to directly ...