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Testing for no effect in nonparametric regression via spline smoothing techniques

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  • Juei-Chao Chen

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Suggested Citation

  • Juei-Chao Chen, 1994. "Testing for no effect in nonparametric regression via spline smoothing techniques," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 46(2), pages 251-265, June.
  • Handle: RePEc:spr:aistmt:v:46:y:1994:i:2:p:251-265
    DOI: 10.1007/BF01720583
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    References listed on IDEAS

    as
    1. Enno Mammen, "undated". "Comparing nonparametric versus parametric regression fits," Statistic und Oekonometrie 9205, Humboldt Universitaet Berlin.
    2. Rice, John A., 1986. "Bandwidth choice for differentiation," Journal of Multivariate Analysis, Elsevier, vol. 19(2), pages 251-264, August.
    3. Dennis Cox & Eunmee Koh, 1989. "A smoothing spline based test of model adequacy in polynomial regression," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 41(2), pages 383-400, June.
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    Cited by:

    1. Lavergne, Pascal & Thomas, A., 1997. "Semiparametric estimation and testing in models of adverse selection, with an aplication to environmental regulation," DES - Working Papers. Statistics and Econometrics. WS 6221, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. Chin-Shang Li, 2012. "Testing for no effect via splines," Computational Statistics, Springer, vol. 27(2), pages 343-357, June.

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