Güncel Gönderiler: Bildiri Koleksiyonu
Toplam kayıt 34, listelenen: 21-34
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Investigation of house price in Eskisehir (Turkey) by using semiparametric additive regression model
(World Scientific and Engineering Academy and Society, 2006)In this paper, different regression models are obtained to examine relation between house price and house features in Centrum of Eskisehir Province (Turkey). The statistical analyses of this paper indicate that some of ... -
Comparison study of P-spline and univariate additive model (CUBIC smoothing spline) in time-series prediction
(Vilnius Gediminas Technical University, 2010)Smoothing splines used in many nonparametric problems to make a good approximation for smoothed functions in recent years. It is discussed two nonparametric techniques called P-spline and univariate additive model (cubic ... -
A comparison study of forecasting financial fuzzy time series by artificial neural networks
(Vilnius Gediminas Technical University, 2010)Forecasting financial time series is an important area for various investors and business practices. Fuzzy time series models which have been successfully applied to handle nonlinear problems have become popular in recent ... -
C programming on waiting line systems
(World Scientific And Engineering Acad And Soc, 2008)In this article, the particular queue will be a place where customers are waiting for service behind each other. For the purpose of this study, a simulation in C language is created in order to simulate the aforementioned ... -
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 ... -
Assessing the Quality of the Natural Cubic Spline Approximation
(World Scientific Publ Co Pte LTD, 2009)In large samples, central limit and saddle-point approximation theory suggest that spline functions having just two or three knots may be used to approximate the log- likelihood function for a single parameter, with the ... -
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 ... -
A new concept of relative suitability of moment function sets
(Elsevier Science Inc, 2008)In modeling statistical data by using entropy optimization distributions, the choice of a suitable moment function set and various combinations of their elements are very important. It is also important to have criteria ... -
Survival Data Analysis By Generalized Entropy Optimization Methods
(Melandrium, 2013)Entropy Optimization Methods (EOM) have important applications, especially in statistics, economy, engineering and etc. There are several examples in the literature that known statistical distributions do not conform to ... -
The theoretical structure of Fuzzy Analytic Network Process (FANP) with Interval Type-2 Fuzzy Sets
(Elsevier Science BV, 2016)The Fuzzy Analytic Network Process has solved multi-criteria decision making problems. Type-1 fuzzy sets used defining as expert's linguistic judgement because fuzzy set theory is concerned with uncertainty in human thought ... -
Optimum smoothing parameter selection for penalized least squares in form of linear mixed effect models
(Taylor & Francis LTD, 2012)In this article, we discuss the penalized least squares problem which has many advantageous computational properties. This method based on penalized spline (P-spline) smoothing can be formulated to fit into a linear mixed ... -
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 ... -
Assessment of Fuel Consumption Using Factorial Experiments, Regression Trees and MARS
(World Scientific And Engineering Acad And Soc, 2009)The purpose of this paper is to determine the effects that are significant on the fuel consumption of F-4 aircrafts by using three different statistical methods and compare the results of those different methods. The ... -
Dellphi programming of normality tests
(World Scientific And Engineering Acad And Soc, 2008)In this study, the source codes for the formulations of various normality tests are established on Delphi programming language. The main advantage of the programs given on this paper is that one can easily perform the ...
