Browsing İstatistik Bölümü by Title
Now showing items 82-101 of 193
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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 ... -
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 ... -
Joint Prior Distributions for Variance Parameters in Bayesian Analysis of Normal Hierarchical Models
(Elsevier Inc, 2015)In random effect models, error variance (stage 1 variance) and scalar random effect variance components (stage 2 variances) are a priori modeled independently. Considering the intrinsic link between the stages 1 and 2 ... -
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 ... -
Kategorik Veri Çözümlemesi
(Hacettepe Üniversitesi Yayınları, 2016)Kamuoyu, Tüketici-Pazar, Sosyoloji, Psikoloji ve Halk Sağlığı alanında yapılan çalışmalar, toplumsal araştırmalardır. Toplumsal araştırmalarda elde edilen veriler kategorik olarak düzenlenir. Çalışmaların en doğru biçimde ...
