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Toplam kayıt 19, listelenen: 11-19
Hanehalkı İşgücü Araştırma Verileri İle Veri Madenciliği Yöntemlerinin Uygulanması Ve Modellerin Karşılaştırılması
(Fen Bilimleri Enstitüsü, 2018)
In today’ s conditions, increasing the need for such as assessing, analyzing and making forward estimates of data, has increased the demand for data mining methods.
In this study, classification and regression estimating ...
Deneysel Dağılım Fonksiyonuna Dayalı Yeni Uyum İyiliği Testleri
(Fen Bilimleri Enstitüsü, 2018)
Distributional assumptions are at the core of statistical methods. Goodness-of-fit test statistics are used to examine whether there is a difference between the sample distribution and the empirical distribution. Although ...
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, ...
Nedensellik Analizi ve Gri İlişkisel Analiz İle Performans Sıralaması: G20 Ülkeleri Üzerine Bir Çalışma
(Fen Bilimleri Enstitüsü, 2018-11)
In this thesis study, it is aimed to measure and rank the economic performances of countries by using the basic economic parameters specified in the study by using Gray Relational Analysis (GRA) method, which is one of the ...
Tramo/Seats Yöntemi İle İmalat Sanayi Üretim Endeksinin Modellenmesi: Doğrudan Ve Dolaylı Yaklaşımların Karşılaştırılması
(Fen Bilimleri Enstitüsü, 2018)
Time series show that seasonal movements repeated from year to year. These seasonal movements conceal the characteristics of the economic time series and prevent to make reliable analysis. For this reason, economic time ...
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 ...
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 ...
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 ...