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Information Geometry: Near Randomness and Near Independence (Lecture Notes in Mathematics)
by:Khadiga Arwini, C. T. J. Dodson
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...
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.
WHAT'S BONUS TIME?
Normally, new semester rental orders are exactly 125 days.
With “Bonus Time” you can order early and get a FREE extension until 12/19*.
It’s our little way of rewarding you early renters for planning ahead.
But do hurry. The “Bonus Time” offer runs out on 8/8 (11PM PST).
* It can take up to 24 hours for the extension to appear in your account after you receive your textbooks.
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