Başlık için İstatistik Bölümü listeleme
Toplam kayıt 214, listelenen: 77-96
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Ewma Control Charts For Skewed Dıstrıbutıons
(Fen Bilimleri Enstitüsü, 2020-09-30)The classic Shewhart control charts are generally used for monitoring the process mean and variability in the characteristics of a random quality variable of interest and are based on the normality assumptions. For skewed ... -
Farklı Sıralı Küme Örnekleme Yöntemlerine Dayalı Güvenilirlik Tahmini
(Fen Bilimleri Enstitüsü, 2022)In the literature, the system reliability R=P(Y<X) estimation, with X power and Y stress, is generally considered based on the simple random sampling (SRS) method. However, recent studies have proven that R estimation based ... -
Forecasting Nonlinear Time Series With A Hybrid Methodology
(Pergamon-Elsevier Science Ltd, 2009)In recent years, artificial neural networks (ANNs) have been used for forecasting in time series in the literature. Although it is possible to model both linear and nonlinear structures in time series by using ANNs, they ... -
Forecasting Turkey Balance Of Trade With Box-Jenkins Models
(Bilgesel Yayincilik San & Tic Ltd, 2009)Foreign trade deficits are among the chronical problems of Turkey. Though export values have followed an increasing trend with the outward oriented development strategy adopted since 1980s, greater increase of import than ... -
Gen Açıklama Verilerinin Sınıflandırılmasında Yeni Bir Özellik Seçimi Yöntemi
(Fen Bilimleri Enstitüsü, 2020)Emergence of DNA microarray datasets started up a crucial research subject for both bioinformatics and machine learning. This type of data is obtained from tissue or cell samples and used to collect information that may ... -
Genel Etkili Homojen Poısson Süreçlerine Dayanan Bağımlı Birleşik Poısson Süreçleri
(Fen Bilimleri Enstitüsü, 2014)A common shock Poisson process is used to model dependent event frequencies. In this process, a shock may be a big car accident, a particular hurricane, a medical mistake with consequences in a hospital. The common shock ... -
Genelleştirilmiş Doğrusal Mekânsal Modellere Koşullu Otoregresif Model Yaklaşımı
(Fen Bilimleri Enstitüsü, 2018)Spatial analysis is a method used to describe spatial patterns on a geographical region. During this analysis, the attributes and location information of the objects forming the spatial data are used. Response variable ... -
Genelleştirilmiş Olasılık Dağılımları Üzerine Bir Çalışma
(Fen Bilimleri Enstitüsü, 2017)Numerous classical distributions are used in the modeling of acquired data in engineering, actuarial, environmental and medical sciences, demography, economics, finance, insurance, biological studies, life analysis and ... -
Genelleştirilmiş Weibull Dağılımları
(Fen Bilimleri Enstitüsü, 2019)Weibull distributions are one of the most popular continuous distributions used in survival analysis for modeling error / failure times such as deterioration and wear, early death. Nowadays, this distribution is used to ... -
Genetik Algoritma ve K-Ortalamalar Algoritmasının Tavsiye Sistemleri İçin Uygulanması
(Fen Bilimleri Enstitüsü, 2023)As there is an increasing emphasis on customer satisfaction, businesses are aiming to discover their customers' interests and preferences. Therefore, providing suitable products or services is crucial in today's competitive ... -
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 ... -
Gözetim Videolarında Anomali Tespit Yöntemlerinin Karşılaştırmalı Bir Değerlendirmesi
(Fen Bilimleri Enstitüsü, 2022)The data generated by the camera needs to be analyzed for various reasons. The most important of these is for security reasons. Undesirable and rare events that occurs in videos are considered an anomaly. In recent years, ... -
Gudermannian Kayıp Fonksiyonu ve GudermannianBoost İkili Sınıflandırma Yöntemi
(Fen Bilimleri Enstitüsü, 2016-12)In this study, a robust loss function and binary boosting classification method are proposed. The purpose of classification methods is to obtain classifier function with generalization ability, i.e., high prediction ... -
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 ...