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TIP BİLİŞİMİNDE VERİ MADENCİLİĞİ YÖNTEMLERİ KULLANILARAK HASTALIKLARIN TAHMİN EDİLMESİ
(Fen Bilimleri Enstitüsü, 2020)Nowadays, Data Mining is an increasingly important tool, especially in the administration of healthcare enterprises and in determining healthrelated policies, as it provides support for the decisionmaking processes of ... 
Ewma Control Charts For Skewed Dıstrıbutıons
(Fen Bilimleri Enstitüsü, 20200930)The classic Shewhart control charts are generally used for monitoring the process mean and variability in the characteristics of a random quality variable of interest and are based on the normality assumptions. For skewed ... 
Bayesci grafik modelleri
(Fen Bilimleri Enstitüsü, 2001)Posterior distributions obtained by Bayesian approach usually have high dimensions when the models are rather complicated. Therefore, to reach the marjinal distributions from the models is analitically intractable. The aim ... 
Yinelemeli Sinir Ağları ile Finansal Veri Tahmini
(Fen Bilimleri Enstitüsü, 202008)Recurrent Neural Network is an artificial neural network model which the outputs are reincluded to network input in every iteration. The biggest advantage of recurrent neural networks is that they consider the variation ... 
Ölçüm Hatalı Açıklayıcı Değişkenli Cox Regresyon Modeline Bayesci Yaklaşım
(Fen Bilimleri Enstitüsü, 2020)The Cox regression model with the measurement error covariate can cause an important bias when estimating coefficients by maximizing the known partial likelihood function. In this case, alternative estimation methods have ... 
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 ... 
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 ... 
Türkiye'de Gün Öncesi Piyasası İçin Elektrik Fiyatlarının Tahmini
(Fen Bilimleri Enstitüsü, 2020)Electricity, known as static electricity from ancient times to 1880’s, take a indispensable place in human life especially down from it had been used as a lightening purpose. At the present time, there isn’ t any substitute ... 
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, ... 
The Effect of Changing Scores for MultiWay Tables with OpenEnded Ordered Categories
(Hacettepe Univ, Fac Sci, 2016)Loglinear models are used to analyze the contingency tables. If the variables are ordinal or interval, because the score values affect both the model significance and parameter estimates, selection of score values has ... 
Subsymmetry and Asymmetry Models for Multiway Square Contingency Tables with Ordered Categories
(De Gruyter Open Ltd, 2016)This paper suggests several models that describe the symmetry and asymmetry structure of each subdimension for the multiway square contingency table with ordered categories. A classical threeway categorical example is ... 
A New Proposed Model of Restricted Data Envelopment Analysis By Correlation Coefficients
(Elsevier Science Inc, 2013)The concept of efficiency in data envelopment analysis (DEA) is defined as weighted sum of outputs/weighted sum of inputs. In order to calculate the maximum efficiency score, each decision making unit (DMU)'s inputs and ... 
A New Multilayer Feedforward Network Based on Trimmed Mean Neuron Model
(Acad Sciences Czech Republic, Inst Computer Science, 2015)The multilayer perceptron model has been suggested as an alternative to conventional approaches, and can accurately forecast time series. Additionally, several novel artificial neural network models have been proposed as ... 
A New Improved Estimator of Population Mean in Partial Additive Randomized Response Models
(Hacettepe Univ, Fac Sci, 2017)In this study, we have developed a new improved estimator for the population mean estimation of the sensitive study variable in Partial Additive Randomized Response Models (RRMs) using two nonsensitive auxiliary variables. ... 
Vascular Endothelial Growth Factor (Vegf)C, VegfD, Vegfr3 And D240 Expressions In Primary Breast Cancer: Association With Lymph Node Metastasis
(Wroclaw Medical Univ, 2017)Background. Two members of the vascular endothelial growth factor (VEGF) family, VEGFC and D, are known as lymphangiogenic growth factors and play an important role in tumor lymphangiogenesis via activation of the VEGF ... 
Using NextGeneration Dna Sequence Data For Genetic Association Tests Based On Allele Counts With And Without Consideration Of Zero Inflation
(2016)The relationship between genetic variability and individual phenotypes is usually investigated by testing for association relying on called genotypes. Allele counts obtained from nextgeneration sequence data could be used ... 
Time Scale In Least Square Method
(Hindawi Publishing Corporation, 2014)Study of dynamic equations in time scale is a new area in mathematics. Time scale tries to build a bridge between real numbers and integers. Two derivatives in time scale have been introduced and called as delta and nabla ... 
The Role Of Factor V Leiden In Adult Patients With Venous Thromboembolism: A MetaAnalysis Of Published Studies From Turkey
(Sage Publications Inc, 2012)Factor V Leiden (FVL) is the most common inherited risk factor for venous thromboembolism (VTE). The frequency of FVL in patients with VTE has been reported from different parts of Turkey. A metaanalysis was performed to ... 
The Lindley Weibull Distribution: Properties And Applications
(Acad Brasileira De Ciencias, 2018)We introduce a new threeparameter lifetime model called the Lindley Weibull distribution, which accommodates unimodal and bathtub, and a broad variety of monotone failure rates. We provide a comprehensive account of some ... 
The Lindley Family Of Distributions: Properties And Applications
(Hacettepe Univ, Fac Sci, 2017)In this paper, we propose a new class of distributions called the Lindley generator with one extra parameter to generate many continuous distributions. The new distribution contains several distributions as submodels, ...