Search
 
Home| Join Our Mailing List| New Reviews| New Titles
Editor's Choice| Bestsellers| Textbooks| Book Series| Study Guides| E-Catalogues
  MATHEMATICS
  Applied Mathematics
General
Mathematical Finance/
Quantitative Finance

Mathematical Physics/
Theoretical Physics

Numerical & Computational
Mathematics

Probability & Statistics
Pure Mathematics
New Titles
August Bestsellers
Editor's Choice
Nobel Lectures
Textbooks
Recent Reviews
Book Series
Related Journals
  • Reviews in Mathematical Physics (RMP)
  • International Journal of Geometric Methods in Modern Physics (IJGMMP)
  • International Journal of Number Theory (IJNT)
  • Request for related catalogues
     
      PRODUCTS
      Journals
    eBooks
    Journals Archives
    eProceedings
     
      RESOURCES
      For Librarians
    For Authors
    For Booksellers
    For Translation Rights About Us
    Contact Us
    How to Order News
    Inspection Copy
     
    CORRELATION AND DEPENDENCE

    by Dominique Drouet Mari (Université de Bretagne Sud, France) & Samuel Kotz (George Washington University, USA)

    The concept of dependence permeates the Earth and its inhabitants in a most profound manner. Examples of interdependent meteorological phenomena in nature and interdependence in the medical, social, and political aspects of our existence, not to mention the economic structures, are too numerous to be cited individually. Moreover, the dependence is obviously not deterministic but of a stochastic nature. However, it seems that none of the departments of statistics, engineering, economics and mathematics in the academic institutions throughout the world offer courses dealing with dependence concepts and measures.

    This book can thus be viewed as an attempt to remedy the situation, and it has been written for a graduate course or a seminar on correlation and dependence concepts and measures. A modest background in mathematical statistics and probability and integral calculus is required. The book is not a full-scale expedition up another statistical Alp. Rather, it is a tour over a somewhat neglected but important terrain. The chapter on correlation is written for a layman.

     
    Contents:
    • Notations and Definitions
    • Correlation and Dependence: An Introspection
    • Concepts of Dependence and Stochastic Ordering
    • Copulas
    • Farlie–Gumbel–Morgenstern Models of Dependence
    • Global Versus Local Dependence between Random Variables
     
    Readership: Researchers and practitioners in the field of applied probability, statistics, biostatistics, industrial engineering and reliability.
     
    “… it should be on the shelf of any statistician who must deal with dependence.”
    Biometrics

     
    “The monograph should be useful to any person who does research in the area of dependence, and to any person who may wish to correctly apply positive dependence notions and orderings in practice.”
    Mathematical Reviews
     
    236pp    Pub. date: Apr 2001  
    ISBN:   978-1-86094-264-8
    1-86094-264-4
       US$65 / £52

     


    236pp    Pub. date: Apr 2001  
    ISBN:   978-1-86094-975-3(ebook)
    1-86094-975-4(ebook)
       US$84 / £59

     


     

    Imperial College Press  |  Global Publishing  |  Asia-Pacific Biotech News  |  Innovation Magazine
    Labcreations Co  |  Meeting Matters  |  National Academies Press

    Copyright © 2009 World Scientific Publishing Co. All rights reserved.
    Updated on 20 November 2009