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Bootstrapping and Related Techniques

Proceedings of an International Conference, Held in Trier, FRG, June 4-8, 1990

  • Conference proceedings
  • © 1992

Overview

Editors:
  1. Karl-Heinz Jöckel

    1. Bremen Institute for Prevention Research and Social Medicine (BIPS), Bremen, Germany

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  2. Günter Rothe

    1. Hauptverband der gewerblichen Berufsgenossenschaften e. V., Sankt Augustin, Germany

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    You can also search for this editor in PubMed   Google Scholar

  3. Wolfgang Sendler

    1. Abteilung für angewandte Mathematik, University of Trier, Trier, Germany

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 376)

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Table of contents (30 papers)

  1. Front Matter

    Pages I-VIII
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  2. Random Number Generation (1)

    1. Front Matter

      Pages 1-1
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    2. Principles for Generating Non-Uniform Random Numbers

      • Ulrich Dieter
      Pages 3-12

    3. Special methods for pseudorandom number generation

      • Jürgen Lehn
      Pages 13-19

  3. Monte-Carlo-Techniques in Inferential Statistics (2)

    1. Front Matter

      Pages 21-21
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    2. Designing Bootstrap Prediction Regions

      • Rudolf Beran
      Pages 23-30

    3. The Generalized Bootstrap

      • Edward J. Dudewicz
      Pages 31-37

    4. Simulation-Based Multiple Comparisons: Background, Philosophy, and Extensions to the Multivariate General Linear Model

      • Don Edwards, Jack J. Berry
      Pages 39-45

    5. Applications of Monte Carlo Methods in Spatial and Image Analysis

      • B. D. Ripley
      Pages 47-53

  4. Bootstrap Bands for Confidence and Prediction Regions (3)

    1. Front Matter

      Pages 55-55
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    2. Confidence Bands for Probability Distributions on Vapnik-Chervonenkis Classes of Sets in Arbitrary Sample Spaces Using the Bootstrap

      • Peter Gaenssler
      Pages 57-61

    3. Bootstrap Confidence Bands

      • Wolfgang Härdle, Michael Nussbaum
      Pages 63-70

    4. Applying the Bootstrap to Generate Confidence Regions in Multiple Correspondence Analysis

      • Monica Th. Markus, Ron A. Visser
      Pages 71-75

  5. Bootstrap for Statistical Tests (4)

    1. Front Matter

      Pages 77-77
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    2. Permutation Versus Bootstrap Significance Tests in Multiple Regression and Anova

      • Cajo J. F. ter Braak
      Pages 79-85

    3. Nonparametric Bootstrap Tests: Some Applications

      • Jörg Breitung
      Pages 87-92

    4. A Class of Combinations of Dependent Tests by a Resampling Procedure

      • A. Pallini, F. Pesarin
      Pages 93-97

  6. Bootstrap for Time Series (5)

    1. Front Matter

      Pages 99-99
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    2. A Bootstrap Approach for Nonlinear Autoregressions Some Preliminary Results

      • Jürgen Franke, Matthias Wendel
      Pages 101-105

    3. Bootstrap procedures for AR (∞) — processes

      • Jens-Peter Kreiss
      Pages 107-113
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Keywords

About this book

This book contains 30 selected, refereed papers from an in- ternational conference on bootstrapping and related techni- ques held in Trier 1990. Thepurpose of the book is to in- form about recent research in the area of bootstrap, jack- knife and Monte Carlo Tests. Addressing the novice and the expert it covers as well theoretical as practical aspects of these statistical techniques. Potential users in different disciplines as biometry, epidemiology, computer science, economics and sociology but also theoretical researchers s- hould consult the book to be informed on the state of the art in this area.

Editors and Affiliations

  • Bremen Institute for Prevention Research and Social Medicine (BIPS), Bremen, Germany

    Karl-Heinz Jöckel

  • Hauptverband der gewerblichen Berufsgenossenschaften e. V., Sankt Augustin, Germany

    Günter Rothe

  • Abteilung für angewandte Mathematik, University of Trier, Trier, Germany

    Wolfgang Sendler

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