Browsing İstatistik Bölümü by Title
Now showing items 98-117 of 206
-
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 ... -
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 ... -
Kredi Temerrüt Takası Primleri İle Çeşitli Ekonomik Göstergeler Arasındaki İlişkiler
(Fen Bilimleri Enstitüsü, 2013)Determining the economic variables that affect credit default swap spreads which are known as indicator of country risk and modelling these spreadss have great importance in terms of financial world. In this study, after ... -
Krom Üretim Miktarı ve Fiyatının Panel Veri Kullanılarak Modellenmesi
(Fen Bilimleri Enstitüsü, 2019)Within the scope of the thesis, by providing the information about the chrome mine, the factors affecting the quarry sales price, quarry sales amount and the right of government have been examined thanks to the data obtained ... -
Markov Zinciri Monte Carlo Yönteminin Dinamik Doğrusal Modellere Uygulanması
(Fen Bilimleri Enstitüsü, 2013)This study deals with implementing three different types of dynamic linear models using dlm package in R. These models are the steady model, the linear growth model and the combined model as a second order polynomial model ...