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Synopsis
The theory of time series models has been well developed over the last thirt, y years. Both the frequenc.y domain and time domain approaches have been widely used in the analysis of linear time series models. However. many physical phenomena cannot be adequately represented by linear models; hence the necessity of nonlinear models and higher order spectra. Recently a number of nonlinear models have been proposed. In this monograph we restrict attention to one particular nonlinear model. known as the "bilinear model". The most interesting feature of such a model is that its second order covariance analysis is ve similar to that for a linear model. This demonstrates the importance of higher order covariance analysis for nonlinear models. For bilinear models it is also possible to obtain analytic expressions for covariances. spectra. etc. which are often difficult to obtain for other proposed nonlinear models. Estimation of bispectrum and its use in the construction of tests for linearit, y and symmetry are also discussed. All the methods are illustrated with simulated and real data. The first author would like to acknowledge the benefit he received in the preparation of this monograph from delivering a series of lectures on the topic of bilinear models at the University of Bielefeld. Ecole Normale Superieure. University of Paris (South) and the Mathematisch Cen trum. Ams terdam.
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An Introduction to Bispectral Analysis and Bilinear Time Series Models
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Springer US, 1984
ISBN 10 : 0387960392
ISBN 13 : 9780387960395
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Etat : Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. With usual stamps and markings, In fair condition, suitable as a study copy. Re-bound by library. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:0387960392. N° de réf. du vendeur 7438235
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An Introduction to Bispectral Analysis and Bilinear Time Series Models
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Springer-Verlag, New York / Berlin / Heidelberg / Tokyo, 1984
ISBN 10 : 0387960392
ISBN 13 : 9780387960395
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Paperback. Etat : Very Good. New York / Berlin / Heidelberg / Tokyo: Springer-Verlag, 1984. 280 pp. 24 x 16.5 cm. Textured paper wraps in yellow and black. Mild to moderate soiling to covers. Light sunning to spine. Light vertical crease down center of front cover. Mild soiling and some spotting to edges of text block. Moderate toning to interior pages. Interior otherwise clean and unmarked. Binding firm. . Soft Cover. Very Good. N° de réf. du vendeur 625763
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An Introduction to Bispectral Analysis and Bilinear Time Series Models (Lecture Notes in Statistics)
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Springer US, 1984
ISBN 10 : 0387960392
ISBN 13 : 9780387960395
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Etat : Gut. 292 Seiten Exemplar aus einer wissenchaftlichen Bibliothek Sprache: Englisch Gewicht in Gramm: 504 24,4 x 17,0 x 1,7 cm, Taschenbuch Auflage: Softcover reprint of the original 1st ed. 1984. N° de réf. du vendeur 355616
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An Introduction to Bispectral Analysis and Bilinear Time Series Models
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Springer New York, 1984
ISBN 10 : 0387960392
ISBN 13 : 9780387960395
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The theory of time series models has been well developed over the last thirt,y years. Both the frequenc.y domain and time domain approaches have been widely used in the analysis of linear time series models. However. many physical phenomena cannot be adequa. N° de réf. du vendeur 5912642
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An Introduction to Bispectral Analysis and Bilinear Time Series Models (Lecture Notes in Statistics, 24)
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An Introduction to Bispectral Analysis and Bilinear Time Series Models
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Springer New York, Springer New York Sep 1984, 1984
ISBN 10 : 0387960392
ISBN 13 : 9780387960395
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The theory of time series models has been well developed over the last thirt,y years. Both the frequenc.y domain and time domain approaches have been widely used in the analysis of linear time series models. However. many physical phenomena cannot be adequately represented by linear models; hence the necessity of nonlinear models and higher order spectra. Recently a number of nonlinear models have been proposed. In this monograph we restrict attention to one particular nonlinear model. known as the 'bilinear model'. The most interesting feature of such a model is that its second order covariance analysis is ve~ similar to that for a linear model. This demonstrates the importance of higher order covariance analysis for nonlinear models. For bilinear models it is also possible to obtain analytic expressions for covariances. spectra. etc. which are often difficult to obtain for other proposed nonlinear models. Estimation of bispectrum and its use in the construction of tests for linearit,y and symmetry are also discussed. All the methods are illustrated with simulated and real data. The first author would like to acknowledge the benefit he received in the preparation of this monograph from delivering a series of lectures on the topic of bilinear models at the University of Bielefeld. Ecole Normale Superieure. University of Paris (South) and the Mathematisch Cen trum. Ams terdam.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 292 pp. Englisch. N° de réf. du vendeur 9780387960395
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An Introduction to Bispectral Analysis and Bilinear Time Series Models
Edité par
Springer New York Sep 1984, 1984
ISBN 10 : 0387960392
ISBN 13 : 9780387960395
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The theory of time series models has been well developed over the last thirt,y years. Both the frequenc.y domain and time domain approaches have been widely used in the analysis of linear time series models. However. many physical phenomena cannot be adequately represented by linear models; hence the necessity of nonlinear models and higher order spectra. Recently a number of nonlinear models have been proposed. In this monograph we restrict attention to one particular nonlinear model. known as the 'bilinear model'. The most interesting feature of such a model is that its second order covariance analysis is ve~ similar to that for a linear model. This demonstrates the importance of higher order covariance analysis for nonlinear models. For bilinear models it is also possible to obtain analytic expressions for covariances. spectra. etc. which are often difficult to obtain for other proposed nonlinear models. Estimation of bispectrum and its use in the construction of tests for linearit,y and symmetry are also discussed. All the methods are illustrated with simulated and real data. The first author would like to acknowledge the benefit he received in the preparation of this monograph from delivering a series of lectures on the topic of bilinear models at the University of Bielefeld. Ecole Normale Superieure. University of Paris (South) and the Mathematisch Cen trum. Ams terdam. 292 pp. Englisch. N° de réf. du vendeur 9780387960395
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An Introduction to Bispectral Analysis and Bilinear Time Series Models
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The theory of time series models has been well developed over the last thirt,y years. Both the frequenc.y domain and time domain approaches have been widely used in the analysis of linear time series models. However. many physical phenomena cannot be adequately represented by linear models; hence the necessity of nonlinear models and higher order spectra. Recently a number of nonlinear models have been proposed. In this monograph we restrict attention to one particular nonlinear model. known as the 'bilinear model'. The most interesting feature of such a model is that its second order covariance analysis is ve~ similar to that for a linear model. This demonstrates the importance of higher order covariance analysis for nonlinear models. For bilinear models it is also possible to obtain analytic expressions for covariances. spectra. etc. which are often difficult to obtain for other proposed nonlinear models. Estimation of bispectrum and its use in the construction of tests for linearit,y and symmetry are also discussed. All the methods are illustrated with simulated and real data. The first author would like to acknowledge the benefit he received in the preparation of this monograph from delivering a series of lectures on the topic of bilinear models at the University of Bielefeld. Ecole Normale Superieure. University of Paris (South) and the Mathematisch Cen trum. Ams terdam. N° de réf. du vendeur 9780387960395
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An Introduction to Bispectral Analysis and Bilinear Time Series Models
Edité par
Springer-Verlag New York Inc., 1984
ISBN 10 : 0387960392
ISBN 13 : 9780387960395
Neuf
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Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 499. N° de réf. du vendeur C9780387960395
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An Introduction to Bispectral Analysis and Bilinear Time Series Models
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Paperback. Etat : Brand New. 1st edition. 292 pages. 9.61x6.69x0.66 inches. In Stock. N° de réf. du vendeur x-0387960392
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