Başlık için Bildiri Koleksiyonu listeleme
Toplam kayıt 34, listelenen: 1-20
-
Analysis of the modified weibull distribution for estimation of wind speed distribution
(Association for Computing Machinery, 2015)Finding suitable wind speed distribution is one of the most important tasks for the correct estimation of wind energy potential of the specified region. The Weibull distribution is the well-known and suggested distribution ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 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 ... -
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 ... -
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 ...
