Spline estimator and its asymptotic properties in multiresponse nonparametric regression model

Budi Lestari, .- and Fatmawati, .- and I Nyoman Budiantara, .- (2020) Spline estimator and its asymptotic properties in multiresponse nonparametric regression model. Songklanakarin Journal of Science & Technology, 42 (3). pp. 533-548. ISSN 0125-3395

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Official URL: https://rdo.psu.ac.th/sjstweb/journal/42-3/7.pdf

Abstract

In applications, we often meet the problem where more than one response variable is observed at several values of predictor variables, and these responses are correlated with each other. The multiresponse nonparametric regression model approach is appropriate to model the functions which represent relationship between response and predictor variables. This relationship is drawn by the regression function. The principal problem of this model approach is estimating of the regression function of this model. The spline estimator is one of the most popular estimators used for estimating it. In this paper we discuss methods to obtain a smoothing spline estimator for estimating the regression function, to get a covariance matrix estimator, and to choose an optimum smoothing parameter. In addition, we investigate the asymptotic properties of the smoothing spline estimator.

Item Type: Article
Uncontrolled Keywords: multiresponse nonparametric regression, covariance matrix, spline estimator, smoothing parameter, asymptotic properties
Subjects: Q Science
Q Science > QA Mathematics
Q Science > QA Mathematics > QA370-387 Differential Equations
Divisions: 08. Fakultas Sains dan Teknologi > Matematika
Creators:
CreatorsNIM
Budi Lestari, .-UNSPECIFIED
Fatmawati, .-UNSPECIFIED
I Nyoman Budiantara, .-UNSPECIFIED
Depositing User: Mr Vega Andi Budiman
Date Deposited: 22 Mar 2022 14:56
Last Modified: 22 Mar 2022 14:56
URI: http://repository.unair.ac.id/id/eprint/114276
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