Başlık için İstatistik Bölümü listeleme
Toplam kayıt 170, listelenen: 69-88
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Factors Associated with Depression in Patients with Schizophrenia
(Yerkure Tanitim & Yayıncılık Hizmetleri A S, 2016)Objective: In this study, it is aimed to determine the prevalence of depression rate, socio-demographic factors related to depression and to determine the relationship between depression in schizophrenia with positive and ... -
A Fano-Huffman based statistical coding method
(Wayne State University, 2007)Statistical coding techniques have been used for lossless statistical data compression, applying methods such as Ordinary, Shannon, Fano, Enhanced Fano, Huffman and Shannon-Fano-Elias coding methods. A new and improved ... -
Farklı Olasılık Yoğunluk Fonksiyonları Kullanarak Rüzgar Gücü Potansiyelinin Tahmini
(2016)Sürekli rassal değişken olarak kabul edilen rüzgâr hızı istatistiksel dağılımlarla karakterize edilir ve ortalama rüzgâr gücü tahminleri yapılır. Weibull dağılımı rüzgar enerjisi alanında kabul edilmiş dağılımdır. Ancak ... -
Finite mixtures of MaxEnt distributions
(Elsevier Science Inc, 2008)Mixture distribution analysis has been the subject of a large remarkable diverse body of literature. So, in order to obtain a mixture density, the problem of parameter estimation has arisen and has taken an important role ... -
Forecasting neural network-based fuzzy time series with different neural network models
(2011)Fuzzy approach and artificial neural networks become effective tool for researchers by forecasting fuzzy time series. The relation of these has advantage to improve forecasting performance especially in handling nonlinear ... -
Forecasting with the aid of hybrid models, combining neural networks and nonparametric regression models in time series
(Vilnius Gediminas Technical University, 2010)The goal of this article is to introduce the hybrid models that combine nonparametric regression and artificial neural networks. Smoothing spline, regression spline and additive regression models are considered as the ... -
A framework for fuzzy variable control charts with ?-cuts
(2007)In traditional variable control charts, center line, upper control limit and lower control limit are crisp values. In this situation, process are defined "in control" or "out of control" with depending on observation values ... -
Fuzzy exponentially weighted moving average control chart for univariate data with a real case application
(Elsevier Science BV, 2014)Statistical process control (SPC) is an approach to evaluate processes whether they are in statistical control or not. For this aim, control charts are generally used. Since sample data may include uncertainties coming ... -
Fuzzy regression control chart
(World Scientific Publ Co Pte LTD, 2008)The fuzzy set theory is a powerful method to analyze the statistical data which includes ambiguity or vague comes from the structure of the process, measurement systems or environmental conditions. Crisp value collected ... -
Fuzzy Regression Control Chart Based on α-cut Approximation
(Atlantis Press, 2010)The fuzzy regression control chart is a functional technique to evaluate the process in which the average has a trend and the data represents a linguistic or approximate value. In this study, the theoretical structure of ... -
Generalized entropy optimization distributions dependent on parameter in time series
(2010)In this paper, we have proposed Generalized Entropy Optimization Problems (GEOP) concerned with parameters which consist of maximizing Entropy Functional subject to constraints dependent on parameters. Therefore, MinMaxEnt ... -
Generalized entropy optimization problems and the existence of their solutions
(Elsevier Science BV, 2007)In the present study we have formulated a generalization of entropy optimization problems (GEOP), proposed sufficient conditions for the existence of solution. We have suggested also a new method based on a priori evaluations ... -
Generalized Least Squares and Weighted Least Squares Estimation Methods for Distributional Parameters
(Inst Nacional Estatistica-Ine, 2015)Regression procedures are often used for estimating distributional parameters because of their computational simplicity and useful graphical presentation. However, the resulting regression model may have heteroscedasticity ... -
Generalized Lindley and Power Lindley distributions for modeling the wind speed data
(Pergamon-Elsevier Science LTD, 2017)In this study, we propose to use Generalized Lindley (GL) and Power Lindley (PL) distributions as an alternative to the Weibull distribution for modeling the wind speed data. In the application part of the study, we consider ... -
Gördes yöresi klinoptilolitin (Doğal ve modifiye)su buharı adsorpsiyonu
(2007)Bu çalışmada Gördes klinoptiloliti (klinoptilolitçe zengin doğal tüf örneği) (CLN) ve bundan itibaren hazırlanan katyonik formlar (Li-, Na-, K-, Mg-, Ca-, ZH1- ve ZH2-CLN örnekleri), üzerinde zamana bağlı olarak, 30?C, ... -
Görünüşte ilişkisiz regresyon denklemlerinin genelleştirilmiş en küçük kareler yöntemiyle kestirimi
(1998)Görünüşte ilişkisiz regresyon denklemlerinin kestiriminde kullanılan çeşitli yöntemler vardır. Bunlardan biri olan genelleştirilmiş en küçük kareler yöntemi, hataların aynı zamanda ilişkili olduğu, ancak otokorelasyon ... -
A group sequential test of circular data using the von Mises distribution
(Hacettepe University, Fac Sci, 2015)In this study, the group sequential test is suggested for the mean direction parameter of the von Mises distribution when the concentration parameter is known and unknown. An application of the proposed test is illustrated ... -
Hybrid Models Combining Neural Networks and Nonparametric Regression Models Used for Time Series Prediction
(World Scientific And Engineering Acad And Soc, 2009)In this paper, we proposed the hybrid models whose components are nonparametric regression and artificial neural networks. Smoothing spline, regression spline and additive regression models are considered as the nonparametric ... -
An improved version of backpropagation algorithm with effective dynamic learning rate and momentum
(2006)An improvement of backpropagation algorithm with momentum is introduced. Local quadratic approximation of the error function is performed at every stage of the learning process and the Hessian matrix of the quadratic error ... -
The individuals control chart in case of non-normality
(2006)This article examines the effects of non-normality as measured by skewness and provides an alternative method of designing individuals control chart with non-normal distributions. A skewness correction method for constructing ...