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ELEMENTS OF COMPUTATIONAL STATISTICS

ELEMENTS OF COMPUTATIONAL STATISTICS

ELEMENTS OF COMPUTATIONAL STATISTICS
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ELEMENTS OF COMPUTATIONAL STATISTICS Hardback - 2002

by JAMES E. GENTLE,

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Springer, 2002. 1st. Hardcover. New/New.
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Details

  • Title ELEMENTS OF COMPUTATIONAL STATISTICS
  • Author JAMES E. GENTLE,
  • Binding Hardback
  • Edition 1st
  • Condition New
  • Pages 420
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2002
  • Illustrated Yes
  • Bookseller's Inventory # AME_9780387954899
  • ISBN 9780387954899 / 0387954899
  • Weight 1.76 lbs (0.80 kg)
  • Dimensions 9.25 x 6.1 x 1 in (23.50 x 15.49 x 2.54 cm)
  • Category Mathematics
  • Library of Congress subjects Statistics - Data processing
  • Library of Congress Catalogue Number 2002067018
  • Dewey Decimal Code 519.5
  • Quantity available 5

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Reader reviews for ELEMENTS OF COMPUTATIONAL STATISTICS

From the publisher

This book describes techniques used in computational statistics and considers some of the areas of application, such as density estimation and model building, in which computationally-intensive methods are useful.

First line

The purpose of an exploration of data may be rather limited and ad hoc, or the purpose may be more general, perhaps to gain understanding of some natural phenomenon.

From the rear cover

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.
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