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Modelling and Application of Stochastic Processes
Editore: Kluwer Academic Publishers, Norwell, MA, U.S.A., 1986
ISBN 10: 0898381770 ISBN 13: 9780898381771
Lingua: Inglese
Da: Reader's Corner, Inc., Raleigh, NC, U.S.A.
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Prima edizione
Hardcover. Condizione: Near Fine. No Jacket. First. Some photon fading of the spine, o/w a crisp fresh unmarked copy.
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Modelling and Application of Stochastic Processes
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Modelling and Application of Stochastic Processes
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Modelling and Application of Stochastic Processes
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Modelling and Application of Stochastic Processes
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Modelling and Application of Stochastic Processes
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Modelling and Application of Stochastic Processes
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Modelling and Application of Stochastic Processes
Da: California Books, Miami, FL, U.S.A.
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Modelling and Application of Stochastic Processes
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Modelling and Application of Stochastic Processes
Da: Mispah books, Redhill, SURRE, Regno Unito
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Modelling and Application of Stochastic Processes
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Modelling and Application of Stochastic Processes
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. 308.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Modelling and Application of Stochastic Processes | Uday B. Desai | Taschenbuch | xiv | Englisch | 2011 | Springer | EAN 9781461294009 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Aggiungi al carrelloGebunden. Condizione: New. The subject of modelling and application of stochastic processes is too vast to be exhausted in a single volume. In this book, attention is focused on a small subset of this vast subject. The primary emphasis is on realization and approximation of stochasti.
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Modelling and Application of Stochastic Processes
Editore: Springer US, Springer New York, 2011
ISBN 10: 1461294002 ISBN 13: 9781461294009
Lingua: Inglese
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The subject of modelling and application of stochastic processes is too vast to be exhausted in a single volume. In this book, attention is focused on a small subset of this vast subject. The primary emphasis is on realization and approximation of stochastic systems. Recently there has been considerable interest in the stochastic realization problem, and hence, an attempt has been made here to collect in one place some of the more recent approaches and algorithms for solving the stochastic realiza tion problem. Various different approaches for realizing linear minimum-phase systems, linear nonminimum-phase systems, and bilinear systems are presented. These approaches range from time-domain methods to spectral-domain methods. An overview of the chapter contents briefly describes these approaches. Also, in most of these chapters special attention is given to the problem of developing numerically ef ficient algorithms for obtaining reduced-order (approximate) stochastic realizations. On the application side, chapters on use of Markov random fields for modelling and analyzing image signals, use of complementary models for the smoothing problem with missing data, and nonlinear estimation are included. Chapter 1 by Klein and Dickinson develops the nested orthogonal state space realization for ARMA processes. As suggested by the name, nested orthogonal realizations possess two key properties; (i) the state variables are orthogonal, and (ii) the system matrices for the (n + l)st order realization contain as their 'upper' n-th order blocks the system matrices from the n-th order realization (nesting property).
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Modelling and Application of Stochastic Processes
Da: Mispah books, Redhill, SURRE, Regno Unito
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - The subject of modelling and application of stochastic processes is too vast to be exhausted in a single volume. In this book, attention is focused on a small subset of this vast subject. The primary emphasis is on realization and approximation of stochastic systems. Recently there has been considerable interest in the stochastic realization problem, and hence, an attempt has been made here to collect in one place some of the more recent approaches and algorithms for solving the stochastic realiza tion problem. Various different approaches for realizing linear minimum-phase systems, linear nonminimum-phase systems, and bilinear systems are presented. These approaches range from time-domain methods to spectral-domain methods. An overview of the chapter contents briefly describes these approaches. Also, in most of these chapters special attention is given to the problem of developing numerically ef ficient algorithms for obtaining reduced-order (approximate) stochastic realizations. On the application side, chapters on use of Markov random fields for modelling and analyzing image signals, use of complementary models for the smoothing problem with missing data, and nonlinear estimation are included. Chapter 1 by Klein and Dickinson develops the nested orthogonal state space realization for ARMA processes. As suggested by the name, nested orthogonal realizations possess two key properties; (i) the state variables are orthogonal, and (ii) the system matrices for the (n + l)st order realization contain as their 'upper' n-th order blocks the system matrices from the n-th order realization (nesting property).
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Modelling and Application of Stochastic Processes
Da: Basi6 International, Irving, TX, U.S.A.
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Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Modelling and Application of Stochastic Processes
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
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Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Modelling and Application of Stochastic Processes
Da: Books Puddle, New York, NY, U.S.A.
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Modelling and Application of Stochastic Processes
Da: Majestic Books, Hounslow, Regno Unito
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Modelling and Application of Stochastic Processes
Da: Biblios, Frankfurt am main, HESSE, Germania
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Modelling and Application of Stochastic Processes
Editore: Springer, Springer Okt 2011, 2011
ISBN 10: 1461294002 ISBN 13: 9781461294009
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The subject of modelling and application of stochastic processes is too vast to be exhausted in a single volume. In this book, attention is focused on a small subset of this vast subject. The primary emphasis is on realization and approximation of stochastic systems. Recently there has been considerable interest in the stochastic realization problem, and hence, an attempt has been made here to collect in one place some of the more recent approaches and algorithms for solving the stochastic realiza tion problem. Various different approaches for realizing linear minimum-phase systems, linear nonminimum-phase systems, and bilinear systems are presented. These approaches range from time-domain methods to spectral-domain methods. An overview of the chapter contents briefly describes these approaches. Also, in most of these chapters special attention is given to the problem of developing numerically ef ficient algorithms for obtaining reduced-order (approximate) stochastic realizations. On the application side, chapters on use of Markov random fields for modelling and analyzing image signals, use of complementary models for the smoothing problem with missing data, and nonlinear estimation are included. Chapter 1 by Klein and Dickinson develops the nested orthogonal state space realization for ARMA processes. As suggested by the name, nested orthogonal realizations possess two key properties; (i) the state variables are orthogonal, and (ii) the system matrices for the (n + l)st order realization contain as their 'upper' n-th order blocks the system matrices from the n-th order realization (nesting property). 308 pp. Englisch.
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The subject of modelling and application of stochastic processes is too vast to be exhausted in a single volume. In this book, attention is focused on a small subset of this vast subject. The primary emphasis is on realization and approximation of stochasti.
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Modelling and Application of Stochastic Processes
Editore: Springer US, Springer New York Okt 2011, 2011
ISBN 10: 1461294002 ISBN 13: 9781461294009
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The subject of modelling and application of stochastic processes is too vast to be exhausted in a single volume. In this book, attention is focused on a small subset of this vast subject. The primary emphasis is on realization and approximation of stochastic systems. Recently there has been considerable interest in the stochastic realization problem, and hence, an attempt has been made here to collect in one place some of the more recent approaches and algorithms for solving the stochastic realiza tion problem. Various different approaches for realizing linear minimum-phase systems, linear nonminimum-phase systems, and bilinear systems are presented. These approaches range from time-domain methods to spectral-domain methods. An overview of the chapter contents briefly describes these approaches. Also, in most of these chapters special attention is given to the problem of developing numerically ef ficient algorithms for obtaining reduced-order (approximate) stochastic realizations. On the application side, chapters on use of Markov random fields for modelling and analyzing image signals, use of complementary models for the smoothing problem with missing data, and nonlinear estimation are included. Chapter 1 by Klein and Dickinson develops the nested orthogonal state space realization for ARMA processes. As suggested by the name, nested orthogonal realizations possess two key properties; (i) the state variables are orthogonal, and (ii) the system matrices for the (n + l)st order realization contain as their 'upper' n-th order blocks the system matrices from the n-th order realization (nesting property).Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 308 pp. Englisch.
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Modelling and Application of Stochastic Processes
Da: Majestic Books, Hounslow, Regno Unito
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 308 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Modelling and Application of Stochastic Processes
Da: Biblios, Frankfurt am main, HESSE, Germania
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 308.
