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Information Geometry: Near Randomness and Near Independence
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Information Geometry: Near Randomness and Near Independence Paperback - 2008

by Khadiga Arwini; C. T. Dodson


From the rear cover

This volume will be useful to practising scientists and students working in the application of statistical models to real materials or to processes with perturbations of a Poisson process, a uniform process, or a state of independence for a bivariate process. We use information geometry to provide a common differential geometric framework for a wide range of illustrative applications including amino acid sequence spacings in protein chains, cryptology studies, clustering of communications and galaxies, cosmological voids, coupled spatial statistics in stochastic fibre networks and stochastic porous media, quantum chaology. Introduction sections are provided to mathematical statistics, differential geometry and the information geometry of spaces of probability density functions.

Details

  • Title Information Geometry: Near Randomness and Near Independence
  • Author Khadiga Arwini; C. T. Dodson
  • Binding Paperback
  • Edition U. S. EDITION
  • Pages 260
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Date 2008-08-25
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • ISBN 9783540693918 / 3540693912
  • Weight 0.9 lbs (0.41 kg)
  • Dimensions 9.2 x 6.1 x 0.7 in (23.37 x 15.49 x 1.78 cm)
  • Library of Congress Catalog Number 2008931163
  • Dewey Decimal Code 519.5
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Information Geometry
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Information Geometry

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Information Geometry: Near Randomness and Near Independence
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Information Geometry: Near Randomness and Near Independence

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Information Geometry: Near Randomness and Near Independence
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Information Geometry: Near Randomness and Near Independence

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Information Geometry
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Information Geometry

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Information Geometry: Near Randomness and Near Independence (Lecture Notes in Mathematics, 1953)
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Information Geometry: Near Randomness and Near Independence (Lecture Notes in Mathematics, 1953)

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