Work

Smoothing Parameter Selection for Nonparametric Regression Using Smoothing Spline

Year: 2013

Type: article

Abstract: In this paper, the smoothing parameter selection problem has been examined in respect to a smoothing spline implementation in predicting nonparametric regression models. For this purpose, a simulation study has been performed by using a program written in MATLAB. The simulation study provides a comparison of the nine smoothing parameter selection methods. In this connection, 500 replications have been performed in simulation for sample sets with different sizes. Thus, the appropriate selection criteria are provided for a suitable smoothing parameter selection.

Source: European Journal of Pure and Applied Mathematics

Authors: Dursun Aydın, Memmedağa Memmedli, Rabia Ece Omay

Institution: Muğla University

Language: English

Topic: Statistical Methods and Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W1515565003

FWCI:

Cites: 26

Cited by: 25

Related to: 9