© 1996

Statistical Theory and Computational Aspects of Smoothing

Proceedings of the COMPSTAT ’94 Satellite Meeting held in Semmering, Austria, 27–28 August 1994

  • Wolfgang Härdle
  • Michael G. Schimek
Conference proceedings

Part of the Contributions to Statistics book series (CONTRIB.STAT.)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. William S. Cleveland, Clive Loader
    Pages 10-49
  3. Burkhardt Seifert, Theo Gasser
    Pages 50-79
  4. Peter Hall, Berwin A. Turlach
    Pages 80-84
  5. M. C. Jones
    Pages 85-87
  6. C. Thomas-Agnan
    Pages 88-92
  7. S. J. Sheather, M. P. Wand, M. S. Smith, R. Kohn
    Pages 93-102
  8. J. S. Marron
    Pages 103-112
  9. William S. Cleveland, Clive Loader
    Pages 113-120
  10. Burkhardt Seifert, Theo Gasser
    Pages 121-127
  11. C. K. Carter, R. Kohn
    Pages 128-148
  12. Gerhard P. Neubauer, Michael G. Schimek
    Pages 165-177
  13. Bernd Droge
    Pages 178-199
  14. Ori Rosen, Ayala Cohen
    Pages 200-214
  15. Robert A. Rigby, Mikis D. Stasinopoulos
    Pages 215-230
  16. G. D. Costanzo, J. L. A. van Rijckevorsel
    Pages 231-246
  17. R. Chen, W. Härdle, O. B. Linton, E. Severance-Lossin
    Pages 247-265

About these proceedings


One of the main applications of statistical smoothing techniques is nonparametric regression. For the last 15 years there has been a strong theoretical interest in the development of such techniques. Related algorithmic concepts have been a main concern in computational statistics. Smoothing techniques in regression as well as other statistical methods are increasingly applied in biosciences and economics. But they are also relevant for medical and psychological research. Introduced are new developments in scatterplot smoothing and applications in statistical modelling. The treatment of the topics is on an intermediate level avoiding too much technicalities. Computational and applied aspects are considered throughout. Of particular interest to readers is the discussion of recent local fitting techniques.


Glättung Kernel Statistische Modelierung Variance calculus econometrics economics invariance modeling regression statistical method statistical modelling statistical theory statistics Ökonometrie

Editors and affiliations

  • Wolfgang Härdle
    • 1
  • Michael G. Schimek
    • 2
  1. 1.Center for Computational Statistics Institut für Statistik und Ökonometrie Wirtschaftswissenschaftliche FakultätHumboldt-Universität zu BerlinBerlinGermany
  2. 2.Medical Biometrics GroupUniversity of Graz Medical SchoolsGrazAustria

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