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Comparing nonparametric versus parametric regression fits

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  • Enno Mammen

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Paper provided by Humboldt Universitaet Berlin in its series Statistic und Oekonometrie with number 9205.

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Handle: RePEc:wop:humbse:9205

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  1. Hardle, W., 1992. "Applied Nonparametric Methods," Papers 9206, Tilburg - Center for Economic Research.
  2. Härdle, W. & Marron, S.J., . "Semiparametric comparison of regression curves," CORE Discussion Papers RP -890, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  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, vol. 41(2), pages 383-400, June.
  4. Collomb, Gérard & Härdle, Wolfgang, 1986. "Strong uniform convergence rates in robust nonparametric time series analysis and prediction: Kernel regression estimation from dependent observations," Stochastic Processes and their Applications, Elsevier, vol. 23(1), pages 77-89, October.
  5. Azzalini,A. & Bowman,A.W. & Haerdle,W., 1988. "On the use of nonparametric regression for model checking," Discussion Paper Serie A 195, University of Bonn, Germany.
  6. Oliver LINTON, . "Applied nonparametric methods," Statistic und Oekonometrie 9312, Humboldt Universitaet Berlin.
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