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Stochastic processes and filtering theory /

This book presents a unified treatment of linear and nonlinear filtering theory for engineers, with sufficient emphasis on applications to enable the reader to use the theory. The need for this book is twofold. First, although linear estimation theory is relatively well known, it is largely scattere...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Jazwinski, Andrew H. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Academic Press, 1970.
Colección:Mathematics in science and engineering ; 64.
Temas:
Acceso en línea:Texto completo
Texto completo

MARC

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245 0 0 |a Stochastic processes and filtering theory /  |c edited by Anderew H. Jazwinski. 
264 1 |a New York :  |b Academic Press,  |c 1970. 
300 |a 1 online resource (376 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Mathematics in science and engineering ;  |v v. 64 
520 |a This book presents a unified treatment of linear and nonlinear filtering theory for engineers, with sufficient emphasis on applications to enable the reader to use the theory. The need for this book is twofold. First, although linear estimation theory is relatively well known, it is largely scattered in the journal literature and has not been collected in a single source. Second, available literature on the continuous nonlinear theory is quite esoteric and controversial, and thus inaccessible to engineers uninitiated in measure theory and stochastic differential equations. 
504 |a Includes bibliographical references and indexes. 
505 0 |a Front Cover; Stochastic Processes and Filtering Theory; Copyright Page; Preface; Acknowledgments; Contents; Chapter 1 Introduction; Chapter 2 Probability Theory and Random Variables; Chapter 3 Stochastic Processes; Chapter 4 Stochastic Differential Equations; Chapter 5 Introduction to Filtering Theory; Chapter 6 Nonlinear Filtering Theory; Chapter 7 Linear Filtering Theory; Chapter 8 Applications of Linear Theory; Chapter 9 Approximate Nonlinear Filters; Author Index; Subject Index. 
588 0 |a Print version record. 
650 0 |a Estimation theory. 
650 0 |a Bayesian statistical decision theory. 
650 6 |a Th�eorie de l'estimation.  |0 (CaQQLa)201-0007579 
650 6 |a Th�eorie de la d�ecision bay�esienne.  |0 (CaQQLa)000272233 
650 7 |a MATHEMATICS  |x Probability & Statistics  |x General.  |2 bisacsh 
650 7 |a Bayesian statistical decision theory.  |2 fast  |0 (OCoLC)fst00829019 
650 7 |a Estimation theory.  |2 fast  |0 (OCoLC)fst00915531 
700 1 |a Jazwinski, Andrew H.,  |e editor. 
776 0 8 |i Print version:  |a Jazwinski, Andrew.  |t Stochastic Processes and Filtering Theory.  |d Burlington : Elsevier, 1970  |z 9780123815507  |w (DLC) 71084150  |w (OCoLC)62223 
830 0 |a Mathematics in science and engineering ;  |v 64. 
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