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Computer Intensive Methods in Statistics

  • Conference proceedings
  • © 1993

Overview

Editors:
  1. Wolfgang Härdle

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

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    You can also search for this editor in PubMed   Google Scholar

  2. Léopold Simar

    1. Institute de Statistique, Université Catholique de Louvain, Louvain-la-Neuve, Belgium

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Statistics and Computing (SCO)

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Table of contents (11 papers)

  1. Front Matter

    Pages N1-VII
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  3. Interfacing Statistics and Computers

    1. Intensive Numerical and Symbolic Computing in Parametric Test Theory

      • Dirk Wauters, Lea Vermeire
      Pages 62-72

    2. Learning Data Analysis and Mathematical Statistics with a Macintosh

      • Anestis Antoniadis, Jacques Berruyer, René Carmona
      Pages 73-84

  4. Image Analysis

    1. Bayesian Electromagnetic Imaging

      • M. Roussignol, V. Jouanne, M. Menvielle, P. Tarits
      Pages 85-97

    2. Markov Random Field Models in Image Remote Sensing

      • Vincent Granville, Jean-Paul Rasson
      Pages 98-112

    3. Minimax Linewise Algorithm for Image Reconstruction

      • A. P. Korostelev, A. B. Tsybakov
      Pages 113-133

  5. Resampling Methods

    1. Bandwidth Selection for Kernel Regression: a Survey

      • P. Vieu
      Pages 134-149

    2. Practical Use of Bootstrap in Regression

      • Marie-Anne Gruet, Sylvie Huet, Emmanuel Jolivet
      Pages 150-166

    3. Application of Resampling Methods to the Choice of Dimension in Principal Component Analysis

      • Ph. Besse, A. de Falguerolles
      Pages 167-176
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Keywords

Editors and Affiliations

  • Institut für Statistik und Ökonometrie, Wirtschaftswissenschaftliche Fakultät, Humboldt-Universität zu Berlin, Berlin, Germany

    Wolfgang Härdle

  • Institute de Statistique, Université Catholique de Louvain, Louvain-la-Neuve, Belgium

    Léopold Simar

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