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Fast and Simple Scatterplot Smoothing

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  • Wolfgang HÄRDLE
  • James S. MARRON

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Bibliographic Info

Paper provided by Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes in its series SFB 373 Discussion Papers with number 1994,8.

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Date of creation: 1994
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Handle: RePEc:zbw:sfb373:19948

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References

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  1. Hardle, W., 1992. "Applied Nonparametric Methods," Discussion Paper, Tilburg University, Center for Economic Research 1992-6, Tilburg University, Center for Economic Research.
  2. HARDLE, Wolfgang & SCOTT, David, 1990. "Smoothing by weighted averaging of rounded points," CORE Discussion Papers, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) 1990040, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  3. Oliver LINTON, . "Applied nonparametric methods," Statistic und Oekonometrie, Humboldt Universitaet Berlin 9312, Humboldt Universitaet Berlin.
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Cited by:
  1. Daniela Climov & Michel Delecroix & Leopold Simar, 2002. "Semiparametric estimation in single index Poisson regression: A practical approach," Journal of Applied Statistics, Taylor & Francis Journals, Taylor & Francis Journals, vol. 29(7), pages 1047-1070.
  2. Hardle, W. & Park, B. U., 1995. "Testing increasing dispersion," Computational Statistics & Data Analysis, Elsevier, Elsevier, vol. 19(6), pages 641-653, June.
  3. Lee, Thomas C. M., 2003. "Smoothing parameter selection for smoothing splines: a simulation study," Computational Statistics & Data Analysis, Elsevier, Elsevier, vol. 42(1-2), pages 139-148, February.
  4. Wang, Dong, 2010. "Modeling epigenetic modifications under multiple treatment conditions," Computational Statistics & Data Analysis, Elsevier, Elsevier, vol. 54(4), pages 1179-1189, April.

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