The Statistical Theory of Linear Systems (BOK)

Manfred Deistler, Edward James Hannan

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Originally published in 1988, this classic text treats the identification of noisy (multi-input and multi-output) linear systems, particularly systems in ARMAX and state space form. The book covers structure theory, including identifiability, realisation and parameterisation of linear systems; analysis of topological and geometrical properties of parameter spaces and parameterisations for estimation and model selection; Gaussian maximum likelihood estimation of real-valued parameters of linear systems; model selection; calculation of estimates; and approximation by rational transfer functions. This edition includes an extensive new introduction that outlines developments since the book's original publication, such as subspace identification, data-driven local coordinates and the results on post-model-selection estimators. It also provides a section of errata and an updated bibliography. Researchers and graduate students studying time series statistics, systems identification, econometrics and signal processing will find this book useful for its interweaving of foundational information on structure theory and statistical analysis of linear systems.

Produktfakta

Språk Engelsk Engelsk Innbinding Heftet
Utgitt 2012 Forfatter Edward James Hannan, Manfred Deistler
Forlag
CAMBRIDGE UNIVERSITY PRESS
ISBN 9781611972184
Antall sider 400 Dimensjoner 17,4cm x 24,7cm x 2,1cm
Vekt 580 gram Leverandør Bertram Trading Ltd
Emner og form Probability & statistics, Systems analysis & design