Başlık için İstatistik Bölümü Tez Koleksiyonu listeleme
Toplam kayıt 112, listelenen: 34-53
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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 ... -
İstatistiksel ve Makine Öğrenme ile Derin Sinir Ağlarında Hiper-Parametre Seçimi İçin Melez Yaklaşım
(Fen Bilimleri Enstitüsü, 2021-07-05)In the literature, a very important problem in deep neural networks is the determination of hyper-parameters. There are many combinations that can be tried for the selection of hyper-parameters to be used in data analysis. ... -
İstatistiksel Veri Madenciliği Teknikleri ile Kamu Alımları Sektöründe Satış Tahmini
(Fen Bilimleri Enstitüsü, 2019-09)In today's economic conditions, states must cooperate with the private sector in economic situations where it is not possible for them to offer public services. At this point where states and private sector meet, the ... -
Karesel Olumsallık Tablolarında Düzey Ayırt Edilebilirliği ve Uyum
(Fen Bilimleri Enstitüsü, 2017)In square contingency tables, analysis of agreement between the row and column classifications is of interest. For nominal categories, kappa coefficient is used to summarize the degree of agreement between two raters. For ... -
Karesel Olumsallık Tablolarında Model Uyumunun Sapma Ölçüsü ile Belirlenmesi
(Fen Bilimleri Enstitüsü, 2018)The joint distribution of categorical variables is summarized by the contingency table. The R × R dimensional contingency tables in which the variables are cross classified according to the same criteria with the number ... -
Karesel Olumsallık Tablolarında Simetrik Olmayan Modeller
(Fen Bilimleri Enstitüsü, 2015)Joint distribution of categorical variables is summarized with contingency tables. Square contingency tables represent the equality of level of row and column variables. The data used for analysis of square contingency ... -
Kedi Sürüsü Optimizasyonuna Dayalı Yeni Bir Bulanık Zaman Serisi Yaklaşımı
(Fen Bilimleri Enstitüsü, 2018)Since there are no theoretical constraints such as the model assumption and the number of observations, the importance of the preferred fuzzy time series instead of classical time series is day by day increasing in analysis ... -
Kesikli Yaşam Süresi Modelleri
(Fen Bilimleri Enstitüsü, 2016)The survival analysis is a statistical research method dealed with the dur ati on of a unit from the beginni ng of observation until the interested event takes place. Survival analysis which is used ... -
Kesirli Polinomlar ile Yaşam Modelleri
(Fen Bilimleri Enstitüsü, 2019)The use of regression models with fractional polynomial was proposed to model nonlinear effects of covariates. The inclusion of continuous covariates as continuous in the model and its inclusion in the model as a categorical ... -
Klasik ve Bayesci Yapısal Eşitlik Modellerinde Parametre Tahminlerinin Karşılaştırılması: Sıralı Kategorik Verilerle Bir Uygulama
(Fen Bilimleri Enstitüsü, 2019)This study compared with the parameter estimation methods of Maximum Likelihood (ML) and Bayesian approximation as Structural Equation Models (SEM) commonly used in analyzing the casual link. In the absence of classical ... -
Kopula Fonksiyonları ve Kripto Para Birimlerine Bir Uygulama
(Fen Bilimleri Enstitüsü, 2023)Cryptocurrency that we hear frequently today first entered our lives in 2009 with Bitcoin. While cryptocurrencies are highly volatile, their risk levels are mostly unknown. It is important for investors to know the risk ...