Bridging the Gap BetweenB-Spline and Polynomial Regression Model

DOI10.1081/SAC-120013120zbMath1100.62524OpenAlexW2019202874MaRDI QIDQ4803408

Hirokazu Yanagihara, Kenichi Satoh, Megu Ohtaki

Publication date: 2 April 2003

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1081/sac-120013120

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Nonparametric Growth Curve Model with Local Linear Approximation ⋮ Estimation of Varying Coefficients for a Growth Curve Model

Cites Work

• A practical guide to splines
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Estimating Optimal Transformations for Multiple Regression and Correlation
• Further analysis of the data by Akaike's information criterion and the finite corrections
• Smoothing Parameter Selection in Nonparametric Regression Using an Improved Akaike Information Criterion
• Modified AIC and Cp in multivariate linear regression
• Model Selection for Multivariate Regression in Small Samples

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