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Nonparametric Functional Estimation and Related Topics

  • George Roussas

Part of the NATO ASI Series book series (ASIC, volume 335)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Curve and Functional Estimation

    1. Front Matter
      Pages 1-1
    2. Ricardo Fraiman, Gonzalo Perez Iribarren
      Pages 45-66
    3. Theo Gasser, Eva Herrmann
      Pages 67-79
    4. László Györfi, Edward C. Van Der Meulen
      Pages 81-95
  3. Curve and Functional Estimation (Continued)

  4. Parameter Selection, Smoothing

    1. Front Matter
      Pages 199-199
    2. K. P.-S. Chan, J. W. Kay
      Pages 201-211
    3. Miklós Csörgő, Lajos Horváth, Paul Deheuvels
      Pages 213-223
    4. Antonio Cuevas, Wenceslao Gonzalez-Manteiga
      Pages 225-240
    5. J. S. Marron
      Pages 251-260
  5. Regression Models

  6. Dependent Data

    1. Front Matter
      Pages 375-375
    2. Adelchi Azzalini, Adrian Bowman
      Pages 377-387
    3. K. Helland, K. S. Lii, M. Rosenblatt
      Pages 405-418
    4. Tuan Dinh Pham, Lanh Tat Tran
      Pages 419-430
    5. M. Bhaskara Rao, G. Jogesh Babu, C. Radhakrishna Rao
      Pages 431-441
  7. Time Series Analysis, Signal Detection

  8. Various Topics

    1. Front Matter
      Pages 559-559

About this book

Introduction

About three years ago, an idea was discussed among some colleagues in the Division of Statistics at the University of California, Davis, as to the possibility of holding an international conference, focusing exclusively on nonparametric curve estimation. The fruition of this idea came about with the enthusiastic support of this project by Luc Devroye of McGill University, Canada, and Peter Robinson of the London School of Economics, UK. The response of colleagues, contacted to ascertain interest in participation in such a conference, was gratifying and made the effort involved worthwhile. Devroye and Robinson, together with this editor and George Metakides of the University of Patras, Greece and of the European Economic Communities, Brussels, formed the International Organizing Committee for a two week long Advanced Study Institute (ASI) sponsored by the Scientific Affairs Division of the North Atlantic Treaty Organization (NATO). The ASI was held on the Greek Island of Spetses between July 29 and August 10, 1990. Nonparametric functional estimation is a central topic in statistics, with applications in numerous substantive fields in mathematics, natural and social sciences, engineering and medicine. While there has been interest in nonparametric functional estimation for many years, this has grown of late, owing to increasing availability of large data sets and the ability to process them by means of improved computing facilities, along with the ability to display the results by means of sophisticated graphical procedures.

Keywords

Estimator Likelihood Regression analysis Time series best fit classification linear regression

Editors and affiliations

  • George Roussas
    • 1
  1. 1.Intercollege Division of StatisticsUniversity of CaliforniaDavisUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-011-3222-0
  • Copyright Information Kluwer Academic Publishers 1991
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-010-5420-1
  • Online ISBN 978-94-011-3222-0
  • Series Print ISSN 1389-2185
  • Buy this book on publisher's site