Random fields estimation / Alexander G. Ramm.

This book contains a novel theory of random fields estimation of Wiener type, developed originally by the author and presented here. No assumption about the Gaussian or Markovian nature of the fields are made. The theory, constructed entirely within the framework of covariance theory, is based on a...

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Bibliographic Details
Online Access:Electronic book from EBSCO
Main Author: Ramm, A. G. (Alexander G.)
Other Authors: Ramm, A. G. Random fields estimation theory.
Format: eBook
Language:English
Published:Hackensack, NJ : World Scientific, ©2005.
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Summary:This book contains a novel theory of random fields estimation of Wiener type, developed originally by the author and presented here. No assumption about the Gaussian or Markovian nature of the fields are made. The theory, constructed entirely within the framework of covariance theory, is based on a detailed analytical study of a new class of multidimensional integral equations basic in estimation theory. This book is suitable for graduate courses in random fields estimation. It can also be used in courses in functional analysis, numerical analysis, integral equations, and scattering theory.
Physical Description:1 online resource (xiii, 373 pages)
Bibliography:Includes bibliographical references (pages 363-369) and index.
ISBN:9812565361
9789812565365
9812703152
9789812703156
1281899143
9781281899149
9786611899141
6611899146
Access:Access limited to authorized users.