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Toplam kayıt 21, listelenen: 1-10
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 ...
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 ...
A statistical investigation on wind energy potential of Northwest of Turkey
(Institute of Electrical and Electronics Engineers Inc., 2016)
The northwest of Turkey is an important region which is a rapidly developing industrial center. Thus, energy analysis of this region has a high importance for the region's geopolitical, economic and demographic structure. ...
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 ...
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 ...
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 ...
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 ...
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 ...