Multivariate Time Series With Linear State Space Structure

Author:   Víctor Gómez
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2016
ISBN:  

9783319285986


Pages:   541
Publication Date:   23 May 2016
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Multivariate Time Series With Linear State Space Structure


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Full Product Details

Author:   Víctor Gómez
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Dimensions:   Width: 15.50cm , Height: 3.00cm , Length: 23.50cm
Weight:   9.575kg
ISBN:  

9783319285986


ISBN 10:   331928598
Pages:   541
Publication Date:   23 May 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface.- Computer Software.- Orthogonal Projection.- Linear Models.- Stationarity and Linear Time Series Models.- The State Space Model.- Time Invariant State Space Models.- Time Invariant State Space Models With Inputs.- Wiener–Kolmogorov Filtering and Smoothing.- SSMMATLAB.- Bibliography.- Author Index.- Subject Index.

Reviews

The book under review is a mathematically solid and comprehensive text, covering in detail the main ingredients of linear estimation theory in state space models. Its emphasis is on the state estimation problems, rather than on statistical inference of the unknown parameters of the model, and from this point of view its scope and spirit is closer to the engineering literature, and to the standard reference ... . (Pavel Chigansky, Mathematical Reviews, May, 2017)


“The book under review is a mathematically solid and comprehensive text, covering in detail the main ingredients of linear estimation theory in state space models. Its emphasis is on the state estimation problems, rather than on statistical inference of the unknown parameters of the model, and from this point of view its scope and spirit is closer to the engineering literature, and to the standard reference … .” (Pavel Chigansky, Mathematical Reviews, May, 2017)


Author Information

Dr. Víctor Gómez is a statistician and technical advisor at the Spanish Ministry of Finance and Public Administrations in Madrid. His professional activity involves statistical, econometric and, above all, time series analysis of macroeconomic data, mostly in connection with short term economic analysis. More recently, he has focused on research in the field of time series analysis and the development of software for time series analysis. He has also taught numerous courses on time series analysis and related topics such as short-term forecasting, seasonal adjustment methods or time series filtering. 

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