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Nonparametric Curve Estimation

Methods, Theory, and Applications

  • Book
  • © 1999

Overview

Part of the book series: Springer Series in Statistics (SSS)

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Table of contents (8 chapters)

Keywords

About this book

Appropriate for a one-semester course, this self-contained book is an introduction to nonparametric curve estimation theory. It may be used for teaching graduate students in statistics (in this case an intermediate statistical inference, on the level of the book by G. Casella and R. Berger (1990) "Statistical Inference", Brooks/Cole, is the prerequisite) as well as for diverse classes with students from other sciences including engineering, business, social, medical, and biology.

Authors and Affiliations

  • Department of Mathematics and Statistics, University of New Mexico, Albuquerque, USA

    Sam Efromovich

Bibliographic Information

  • Book Title: Nonparametric Curve Estimation

  • Book Subtitle: Methods, Theory, and Applications

  • Authors: Sam Efromovich

  • Series Title: Springer Series in Statistics

  • DOI: https://doi.org/10.1007/b97679

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1999

  • Hardcover ISBN: 978-0-387-98740-8Published: 05 August 1999

  • Softcover ISBN: 978-1-4757-7301-9Published: 23 March 2013

  • eBook ISBN: 978-0-387-22638-5Published: 19 January 2008

  • Series ISSN: 0172-7397

  • Series E-ISSN: 2197-568X

  • Edition Number: 1

  • Number of Pages: XIV, 414

  • Topics: Statistical Theory and Methods

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