Skip to main content
SpringerLink
Log in
Book cover

Statistical Theory and Computational Aspects of Smoothing

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

  • Conference proceedings
  • © 1996

Overview

Editors:
  1. Wolfgang Härdle

    1. Center for Computational Statistics Institut für Statistik und Ökonometrie Wirtschaftswissenschaftliche Fakultät, Humboldt-Universität zu Berlin, Berlin, Germany

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Michael G. Schimek

    1. Medical Biometrics Group, University of Graz Medical Schools, Graz, Austria

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

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

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (18 papers)

  1. Front Matter

    Pages I-VIII
    Download chapter PDF

  2. A Personal View of Smoothing and Statistics

    • J. S. Marron
    Pages 1-9

  3. Smoothing by Local Regression: Principles and Methods

    • William S. Cleveland, Clive Loader
    Pages 10-49

  4. Variance Properties of Local Polynomials and Ensuing Modifications

    • Burkhardt Seifert, Theo Gasser
    Pages 50-79

  5. Comments

    • Peter Hall, Berwin A. Turlach
    Pages 80-84

  6. Comments

    • M. C. Jones
    Pages 85-87

  7. Comments

    • C. Thomas-Agnan
    Pages 88-92

  8. Comments

    • S. J. Sheather, M. P. Wand, M. S. Smith, R. Kohn
    Pages 93-102

  9. Rejoinder

    • J. S. Marron
    Pages 103-112

  10. Rejoinder

    • William S. Cleveland, Clive Loader
    Pages 113-120

  11. Rejoinder

    • Burkhardt Seifert, Theo Gasser
    Pages 121-127

  12. Robust Bayesian Nonparametric Regression

    • C. K. Carter, R. Kohn
    Pages 128-148

  13. The Invariance of Statistical Analyses with Smoothing Splines with Respect to the Inner Product in the Reproducing Kernel Hilbert Space

    • Angelika van der Linde
    Pages 149-164

  14. A Note on Cross-Validation for Smoothing Splines

    • Gerhard P. Neubauer, Michael G. Schimek
    Pages 165-177

  15. Some Comments on Cross-Validation

    • Bernd Droge
    Pages 178-199

  16. Extreme Percentile Regression

    • Ori Rosen, Ayala Cohen
    Pages 200-214

  17. Mean and Dispersion Additive Models

    • Robert A. Rigby, Mikis D. Stasinopoulos
    Pages 215-230

  18. Interaction in Nonlinear Principal Components Analysis

    • G. D. Costanzo, J. L. A. van Rijckevorsel
    Pages 231-246

  19. Nonparametric Estimation of Additive Separable Regression Models

    • R. Chen, W. Härdle, O. B. Linton, E. Severance-Lossin
    Pages 247-265
Back to top

Keywords

About this book

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.

Editors and Affiliations

  • Center for Computational Statistics Institut für Statistik und Ökonometrie Wirtschaftswissenschaftliche Fakultät, Humboldt-Universität zu Berlin, Berlin, Germany

    Wolfgang Härdle

  • Medical Biometrics Group, University of Graz Medical Schools, Graz, Austria

    Michael G. Schimek

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation