Browsing İstatistik Bölümü by Title
Now showing items 75-94 of 193
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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 ... -
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 ... -
Harm Perceptions Of Waterpipe Tobacco Smoking Among University Students In Five Eastern Mediterranean Region Countries: A Cross-Sectional Study
(2018)INTRODUCTION Waterpipe tobacco smoking (WTS) continues to be very common in the Eastern Mediterranean Region (EMR), partially because of cultural acceptance but also because of misconceptions of its harm. This paper aimed ... -
Hartley-Ross Type Unbiased Estimators Using The Stratified Random Sampling
(Hacettepe Univ, Fac Sci, 2017)This study mentions Hartley-Ross type unbiased ratio estimators of the finite population mean in the stratified random sampling using the auxiliary variable. We propose the unbiased estimators using the estimators in Kadilar ... -
Homogeneous Imputation Under Two Phase Probability Proportional To Size Sampling
(2019)In this paper, we consider the problem of missing complete at random (MCAR) values in two phase probability proportional to size (pps) sampling for the estimation of population mean. A class of estimators is considered by ... -
Hybrid Adaptive Evolutionary Algorithm Based On Decomposition
(Elsevier Science Bv, 2017)The performance of search operators varies across the different stages of the search/optimization process of evolutionary algorithms (EAs). In general, a single search operator may not do well in all these stages when ... -
Hybrid Constrained Evolutionary Algorithm For Numerical Optimization Problems
(2019)Constrained optimization are naturally arises in many real-life applications, and is therefore gaining a constantly growing attention of the researchers. Evolutionary algorithms are not directly applied on constrained ... -
Hybrid Non-Dominated Sorting Genetic Algorithm With Adaptive Operators Selection
(Elsevier Science Bv, 2017)Multiobjective optimization entails minimizing or maximizing multiple objective functions subject to a set of constraints. Many real world applications can be formulated as multi-objective optimization problems (MOPs), ... -
Improvement In Estimating The Population Mean In Simple Random Sampling
(Pergamon-Elsevier Science Ltd, 2006)This paper proposes some estimators for the population mean using the ratio estimators presented in [C. Kadilar, H. Cingi, Ratio estimators in simple random sampling, Applied Mathematics and Computation 151 (2004) 893-902] ... -
Improving Weighted Information Criterion By Using Optimization
(Elsevier Science Bv, 2010)Although artificial neural networks (ANN) have been widely used in forecasting time series, the determination of the best model is still a problem that has been studied a lot. Various approaches available in the literature ... -
Influenza Vaccination Prevalence Among The Elderly And Individuals With Chronic Disease, And Factors Affecting Vaccination Uptake
(2019)Objective: Our aim is to evaluate influenza vaccination rates among the elderly and individuals with underlying chronic disease, and factors that affect vaccination uptake. Methods: The study comprised individuals aged ... -
Is There a Relationship Between Vitamin D Status and Hypocalcemia-After Total Thyroidectomy?
(Editura Acad Romane, 2016)Context. Vitamin D plays a crucial role in calcium metabolism through parathormone-dependent process. Deficiency of this important nutrient may be associated with hypocalcemia after thyroidectomy. Objective. To evaluate ...
