Dil "tur" İstatistik Bölümü için listeleme
Toplam kayıt 101, listelenen: 21-40
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Çok Durumlu Modellerde Geçiş Olasılıklarının Tahmini
(Fen Bilimleri Enstitüsü, 2023-06)The time until an event occurs is examined in survival analysis. During the time that an individual or a unit under examination passes from the starting state to the final state, other situations may occur and transitions ... -
Değişen Katsayılı Regresyon Modeli İle Gebelerin Ortalama Arteriyel Kan Basıncına Etki Eden Risk Faktörlerinin Belirlenmesi
(Fen Bilimleri Enstitüsü, 2018-09-25)Varying Coefficient Models are used to reveal properties of multidimensional data among nonparametric regression models. Since these models allow the coefficients to change over the variable called the "index variable", ... -
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 ... -
Destek Vektör Makineleri Üzerine Bir Çalışma
(Fen Bilimleri Enstitüsü, 2014)Support Vector Machines were introduced by Vladamir Vapnik in 1995 as a new-generation technique, learning from training set which is high-dimensional and whose sample size is much small, by creating and solving a quadratic ... -
Doğrusal Cebire Giriş
(2006)Hacettepe Üniversitesi, Fen Fakültesi, İstatistik Bölümü'nde yıllardır ermekte olduğum doğrusal cebir derslerinin ders notlarından oluşan birinci baskısına göre, bu baskıda önemli değişiklikler yaptık. Tüm bölümler eniden ... -
Doğrusal Karma Modelde Varyans Bileşenlerinin Sağlam Kestiriciler ile Tahmini
(Fen Bilimleri Enstitüsü, 2020)In this study, how to estimate the variance components of the linear mixed model with robust estimators is explained and an application is made on a real dataset. For this purpose, firstly, estimation methods of fixed, ... -
Doğrusal Regresyonda Bozulma Noktasına Sahip Tahminler
(Fen Bilimleri Enstitüsü, 2017-01) -
Eliptik Konturlu Dağılımlara Dayalı Çok Değişkenli Tekrarlı Ölçümlü Varyans Analizi
(Fen Bilimleri Enstitüsü, 2020)Repeated measures data describe multiple measurements taken from the same experimental unit under different treatment conditions. In particular, researches with repeated measures data in various fields such as health and ... -
Evrişimsel Sinir Ağları Kullanarak Sondaj Karot Sandıklarının İncelenmesi ve Tenör Tahmini
(Fen Bilimleri Enstitüsü, 2023)Mining companies have allocated approximately 10 billion USD for the exploration and investigation of new mines in 2018. Drilling has been a long-standing method for the exploration of underground mineral deposits. By using ... -
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 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 ...