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Dependence in Probability and Statistics

A Survey of Recent Results

  • Book
  • © 1986

Overview

Editors:
  1. Ernst Eberlein

    1. Institut für Mathematische Stochastik, Universität Freiburg, Freiburg i. Br., Federal Republic of Germany

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    You can also search for this editor in PubMed   Google Scholar

  2. Murad S. Taqqu

    1. Department of Mathematics, Boston University, Boston, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Progress in Probability (PRPR, volume 11)

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Table of contents (22 chapters)

  1. Front Matter

    Pages i-xi
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  4. Martingale Dependence Structures

    1. Front Matter

      Pages 301-301
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    2. On Martingale Central Limit Theory

      • Peter Gaenssler, Erich Haeusler
      Pages 303-334

    3. Limit Laws for Generalizations of Martingales

      • Ernst Eberlein
      Pages 335-345

  5. Other Dependence Structures

    1. Front Matter

      Pages 347-347
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    2. Joint Characteristic Functions and Associated Sequences

      • André Robert Dabrowski
      Pages 349-360
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Keywords

Editors and Affiliations

  • Institut für Mathematische Stochastik, Universität Freiburg, Freiburg i. Br., Federal Republic of Germany

    Ernst Eberlein

  • Department of Mathematics, Boston University, Boston, USA

    Murad S. Taqqu

Bibliographic Information

  • Book Title: Dependence in Probability and Statistics

  • Book Subtitle: A Survey of Recent Results

  • Editors: Ernst Eberlein, Murad S. Taqqu

  • Series Title: Progress in Probability

  • DOI: https://doi.org/10.1007/978-1-4615-8162-8

  • Publisher: Birkhäuser Boston, MA

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1986

  • Hardcover ISBN: 978-0-8176-3323-3Due: 01 January 1986

  • Softcover ISBN: 978-1-4615-8163-5Published: 03 January 2014

  • eBook ISBN: 978-1-4615-8162-8Published: 12 June 2019

  • Series ISSN: 1050-6977

  • Series E-ISSN: 2297-0428

  • Edition Number: 1

  • Number of Pages: XI, 475

  • Number of Illustrations: 1 b/w illustrations

  • Topics: Probability Theory and Stochastic Processes

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