Information Geometry [electronic resource] : Near Randomness and Near Independence / by Khadiga A. Arwini, Christopher T. J. Dodson.

Por: Arwini, Khadiga A [author.]Colaborador(es): Dodson, Christopher T. J [author.]Tipo de material: TextoTextoSeries Lecture Notes in Mathematics, 1953Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008Descripción: online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783540693932Trabajos contenidos: SpringerLink (Online service)Tema(s): Mathematics | Genetics -- Mathematics | Global differential geometry | Distribution (Probability theory) | Materials | Mathematics | Differential Geometry | Probability Theory and Stochastic Processes | Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences | Continuum Mechanics and Mechanics of Materials | Genetics and Population DynamicsFormatos físicos adicionales: Sin títuloClasificación CDD: 516.36 Clasificación LoC:QA641-670Recursos en línea: de clik aquí para ver el libro electrónico
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Springer eBooksResumen: 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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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.

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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