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Bivariate non‐parametric regression models: simulations and applications

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  • Alessandra Durio
  • Ennio Davide Isaia

Abstract

This paper presents a practical procedure for performing non‐parametric bivariate regression analysis. The procedure applies the Nadaraya–Watson local linear kernel estimator with associated bootstrap variability bands whenever the pseudo‐likelihood ratio test rejects the linear regression model hypothesis. Two case studies and simulations are used to demonstrate the proposed technique. Calculations have been performed using the shareware R software. Copyright © 2004 John Wiley & Sons, Ltd.

Suggested Citation

  • Alessandra Durio & Ennio Davide Isaia, 2004. "Bivariate non‐parametric regression models: simulations and applications," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 20(3), pages 291-303, July.
    • Handle: RePEc:wly:apsmbi:v:20:y:2004:i:3:p:291-303
    DOI: 10.1002/asmb.527
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