Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Mathematics (LNM)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Information Geometry
Book Subtitle: Near Randomness and Near Independence
Authors: Khadiga A. Arwini, Christopher T. J. Dodson
Series Title: Lecture Notes in Mathematics
DOI: https://doi.org/10.1007/978-3-540-69393-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Softcover ISBN: 978-3-540-69391-8Published: 25 August 2008
eBook ISBN: 978-3-540-69393-2Published: 19 July 2008
Series ISSN: 0075-8434
Series E-ISSN: 1617-9692
Edition Number: 1
Number of Pages: X, 260
Number of Illustrations: 103 b/w illustrations
Topics: Differential Geometry, Applications of Mathematics, Probability Theory and Stochastic Processes, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Solid Mechanics, Genetics and Population Dynamics