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Optimal Estimation of Parameters

By: Jorma Rissanen (Author)

Ksh 19,800.00
Format :

Format(s): DRM PDF

ISBN-13: 9781139512190

Publisher: Cambridge University Press

Imprint: Cambridge University Press

Publication Date: June 7th, 2012

Country of Publication: GB

Language: English

Physical Edition EAN: 9781107004740

Category: Information theory , Coding theory & cryptology , Machine learning , Pattern recognition , Signal processing

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  • Description

  • Author Bio

This book presents a comprehensive and consistent theory of estimation. The framework described leads naturally to a generalized maximum capacity estimator. This approach allows the optimal estimation of real-valued parameters, their number and intervals, as well as providing common ground for explaining the power of these estimators. Beginning with a review of coding and the key properties of information, the author goes on to discuss the techniques of estimation and develops the generalized maximum capacity estimator, based on a new form of Shannon's mutual information and channel capacity. Applications of this powerful technique in hypothesis testing and denoising are described in detail. Offering an original and thought-provoking perspective on estimation theory, Jorma Rissanen's book is of interest to graduate students and researchers in the fields of information theory, probability and statistics, econometrics and finance.

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