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Record Nr. |
UNISA996466379903316 |
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Autore |
Arwini Khadiga |
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Titolo |
Information Geometry [[electronic resource] ] : Near Randomness and Near Independence / / by Khadiga Arwini, C. T. J. Dodson |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
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ISBN |
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Edizione |
[1st ed. 2008.] |
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Descrizione fisica |
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1 online resource (X, 260 p. 103 illus.) |
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Collana |
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Lecture Notes in Mathematics, , 0075-8434 |
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Disciplina |
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Soggetti |
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Differential geometry |
Applied mathematics |
Engineering mathematics |
Probabilities |
Statistics |
Mechanics |
Mechanics, Applied |
Biomathematics |
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 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Mathematical Statistics and Information Theory -- to Riemannian Geometry -- Information Geometry -- Information Geometry of Bivariate Families -- Neighbourhoods of Poisson Randomness, Independence, and Uniformity -- Cosmological Voids and Galactic Clustering -- Amino Acid Clustering -- Cryptographic Attacks and Signal Clustering -- Stochastic Fibre Networks -- Stochastic Porous Media and Hydrology -- Quantum Chaology. |
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Sommario/riassunto |
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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. |
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