Başlık için Bildiri Koleksiyonu listeleme
Toplam kayıt 34, listelenen: 9-28
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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 ... -
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 ... -
Distributions of Wind Speed at Different Heights
(IEEE, 2016)In this study, the parameters of different distributions such as the Weibull, Rayleigh, Lognormal, Gamma and Generalized Gamma, which are used for modelling wind speed, at the different heights 10 and 30 m, have been ... -
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 ... -
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 ... -
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 ... -
Estimator based on percentiles for log-logistic distribution
(2012)In this study, we consider the estimator based on percentiles for log-logistic distribution similar to the study of [6] and we also graph breakdown plots of the estimators that are considered below to have an opinion about ... -
Evaluation of robust estimation methods in estimating weibull parameters for wind energy application
(Association for Computing Machinery, 2015)Two-parameter Weibull distribution has been widely-used reference distribution in wind energy studies and thus its parameter estimation methods have been well-studied in the literature. However, the literature have generally ... -
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 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 ... -
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 ... -
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 ... -
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 ... -
On developed estimation methods via unique and multiple parametrization
(2012)In the present study, two methods, based on entropy optimization principle, to estimate missing (or forecasting) values in the given time series are suggested. In the first method successively replaces the missing values ... -
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 ... -
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 simulation study with different number of observation using nonparametric regression splines
(2011)In this study we made a simulation study using various nonparametric techniques. The methods that we have used in this study are following: regression spline, penalized spline, and their Bayesian versions: adaptive Bayesian ...