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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Mathematik Wahrscheinlichkeitstheorie & Statistik An Introduction to Bispectral Analysis and Bilinear Time Series Models
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Beschreibung
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. 106,99 €
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Technische Daten
Erscheinungsdatum
05.09.1984
Sprache
Englisch
EAN
9780387960395
Herausgeber
Springer US
Serien- oder Bandtitel
Lecture Notes in Statistics
Sonderedition
Nein
Autor
T.S. Rao, M.M. Gabr
Seitenanzahl
280
Einbandart
Broschiert
Schlagwörter
Analysis, Bilineares Modell, Fitting, Random variable, Series, Spektralanalyse, Time, Time series, Variance, Zeitreihenanalyse, best fit
Thema-Inhalt
PBT - Wahrscheinlichkeitsrechnung und Statistik
PBWL - Stochastik
PBW - Angewandte Mathematik
Höhe
244 mm
Breite
17 cm
Transparenz & Sicherheit
Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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