Elements of Computational Statistics

  • James E. Gentle

Part of the Statistics and Computing book series (SCO)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Methods of Computational Statistics

  3. Data Density and Structure

  4. Back Matter
    Pages 329-420

About this book


This book describes techniques used in computational statistics and considers some of the areas of applications, such as density estimation and model building, in which computationally intensive methods are useful. In computational statistics, computation is viewed as an instrument of discovery; the role of the computer is not just to store data, perform computations, and produce graphs and tables, but additionally to suggest to the scientist alternative models and theories. Another characteristic of computational statistics is the computational intensity of the methods; even for datasets of medium size, high performance computers are required to perform the computations. Graphical displays and visualization methods are usually integral features of computational statistics.


Approximation Partition Resampling Ringe Statistica algebra linear algebra numerical analysis optimization probability statistics

Authors and affiliations

  • James E. Gentle
    • 1
  1. 1.Department of Computational Sciences and InformaticsGeorge Mason UniversityFairfaxUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag New York, Inc. 2002
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-95489-9
  • Online ISBN 978-0-387-21611-9
  • Series Print ISSN 1431-8784
  • Buy this book on publisher's site
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