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The empirical performances of the selection criteria for nonparametric regression using smoothing spline
(World Scientific and Engineering Academy and Society, 2006)In this paper, the smoothing parameter selection problem has been examined in nonparametric regression using smoothing spline method for different data sets. For that reason a Monte Carlo simulation study has been performed ... -
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 ... -
Portfolio optimization with entropy measure
(Acta Press Anaheim, 2007)In portfolio management, the selection of portfolio weights has received considerable interest. Considering the expected return, risk and uncertainty, the portfolio distribution is to be determined. The maximum entropy ... -
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 ... -
Estimating the location and scale parameters of the Weibull distribution: An application from engineering
(Acta Press Anaheim, 2007)There exist various methods for estimating the location and scale parameters of the Weibull distribution. The maximum likelihood estimators (MLE), moment estimators (ME), generalized spacing estimators (GSE), modified ... -
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 ... -
Derivation of ME estimator of a mixture of two normal distributions
(World Scientific And Engineering Acad And Soc, 2008)In this study, we obtain the parameters of a mixture density by using the principle of maximum equality which is based on Shannon's entropy measure. Since this procedure doesn't require constructing the likelihood function ... -
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 ... -
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 ... -
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 ... -
A comparison study of performance measures and length of intervals in fuzzy time series by neural networks
(2009)Deciding length of intervals and choosing performance measures have important issues to forecast fuzzy time series. Many forecasting studies accept MSE(Mean squared error) for performance measure and use only one kind of ... -
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 ... -
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 ... -
A Comparison Study of Performance Measures and Length of Intervals in Fuzzy Time Series by Neural Networks
(World Scientific Publ Co Pte LTD, 2009)Deciding length of intervals and choosing performance measures have important issues to forecast fuzzy time series. Many forecasting studies accept MSE(Mean squared error) for performance measure and use only one kind of ... -
Estimation Method Based on MinMaxEnt Distribution for Missing Value in Time Series
(World Scientific Publ Co Pte LTD, 2009)In this study, MinMaxEnt distribution out of Generalized Entropy Optimization Distributions with moment functions and moment values dependent on parameter are introduced. MaxEnt distribution for observed time series is ... -
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 ... -
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 ...
