Estimating the Nonparametric Regression Function by Using Padé Approximation Based on Total Least Squares

DOI10.1080/01630563.2020.1794891zbMath1467.62060OpenAlexW3074682879MaRDI QIDQ4985163

Dursun Aydın, Ersin Yilmaz, S. Ejaz Ahmed

Publication date: 22 April 2021

Published in: Numerical Functional Analysis and Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01630563.2020.1794891

zbMATH Keywords

splinesPadé approximationnonparametric regressiontruncated total least squaresalternative smoothing methodengine horsepower

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Numerical computation using splines (65D07) Applications of statistics in engineering and industry; control charts (62P30)

Related Items (1)

Rational (Padé) approximation for estimating the components of the partially-linear regression model

Uses Software

• SemiPar
• ErresTools

Cites Work

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