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Introduction to Bispectral Analysis and Bilinear Time Series Models, Paperbac...

Description: Introduction to Bispectral Analysis and Bilinear Time Series Models, Paperback by Rao, T. S., ISBN 0387960392, ISBN-13 9780387960395, Brand New, Free shipping in the US The theory of time series models has been well developed over the last thirt,y years. Both the 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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Introduction to Bispectral Analysis and Bilinear Time Series Models, Paperbac...

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Book Title: Introduction to Bispectral Analysis and Bilinear Time Series Mode

Number of Pages: VIII, 280 Pages

Language: English

Publication Name: Introduction to Bispectral Analysis and Bilinear Time Series Models

Publisher: Springer New York

Subject: Probability & Statistics / General, Probability & Statistics / Time Series, Applied

Publication Year: 1984

Item Weight: 17.9 Oz

Type: Textbook

Item Length: 9.6 in

Subject Area: Mathematics

Author: M. M. Gabr, T. S. Rao

Item Width: 6.7 in

Series: Lecture Notes in Statistics Ser.

Format: Trade Paperback

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