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  • Conference proceedings
  • © 1979

Smoothing Techniques for Curve Estimation

Proceedings of a Workshop held in Heidelberg, April 2-4, 1979

Part of the book series: Lecture Notes in Mathematics (LNM, volume 757)

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Table of contents (13 papers)

  1. Front Matter

    Pages N2-V
  2. Nonparametric curve estimation

    • Th. Gasser, M. Rosenblatt
    Pages 1-4
  3. Kernel estimation of regression functions

    • Theo Gasser, Hans-Georg Müller
    Pages 23-68
  4. Total least squares

    • Gene H. Golub, Charles Van Loan
    Pages 69-76
  5. Some comments on the asymptotic behavior of robust smoothers

    • Werner Stuetzle, Yashaswini Mittal
    Pages 191-195
  6. Back Matter

    Pages 247-249

Keywords

  • Glättung
  • Kurvenanpassung
  • Schätzung
  • Statistica
  • behavior
  • convergence
  • data model
  • data modelling
  • derivative
  • efficiency
  • function
  • functions
  • kernel
  • modeling
  • modelling

Bibliographic Information

  • Book Title: Smoothing Techniques for Curve Estimation

  • Book Subtitle: Proceedings of a Workshop held in Heidelberg, April 2-4, 1979

  • Editors: Th. Gasser, M. Rosenblatt

  • Series Title: Lecture Notes in Mathematics

  • DOI: https://doi.org/10.1007/BFb0098486

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1979

  • Softcover ISBN: 978-3-540-09706-8Published: 01 November 1979

  • eBook ISBN: 978-3-540-38475-5Published: 08 December 2006

  • Series ISSN: 0075-8434

  • Series E-ISSN: 1617-9692

  • Edition Number: 1

  • Number of Pages: 245

  • Topics: Mathematics

Buying options

eBook USD 54.99
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 69.99
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions