Konu "Nonparametric Regression" için İstatistik Bölümü listeleme
Toplam kayıt 8, listelenen: 1-8
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A comparative study of hybrid, neural networks and nonparametric regression models in time series prediction
(2009)This paper presents a comparative study of the hybrid models, neural networks and nonparametric regression models in time series forecasting. The components of these hybrid models are consisting of the nonparametric ... -
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 ... -
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 ... -
Estimation of clearness index model via CRS, TPRS and mars
(2011)Nonparametric approach is more flexible than parametric approach in assuming that f belongs to a smooth family of functions. Hence, a nonparametric approach does not require an assumption of linearity. Based on our motivating ... -
Estimation of Clearness Index Model Via Crs, Tprs and Mars
(Isoss Publ, 2011)Nonparametric approach is more flexible than parametric approach in assuming that f belongs to a smooth family of functions. Hence, a nonparametric approach does not require an assumption of linearity. Based on our motivating ... -
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 ... -
Modelling Extreme Rainfalls Using Generalized Additive Models for Location, Scale and Shape Parameters
(Corvinus University Budapest, 2016)This study aims to model the nonlinear relationship between the daily amount of extreme rainfall and significant predictor variables by the Generalized additive models for location, scale and shape parameters (GAMLSS). ... -
The smoothing parameter selection problem in smoothing spline regression for different data sets
(2007)This paper studies smoothing parameter selection problem in nonparametric regression based on smoothing spline method for different data sets. For this aim, a Monte Carlo simulation study was performed. This simulation ...