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OverviewFull Product DetailsAuthor: Peter C. YoungPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Edition: 2nd ed. 2011 Dimensions: Width: 15.50cm , Height: 2.80cm , Length: 23.50cm Weight: 0.945kg ISBN: 9783642219801ISBN 10: 3642219802 Pages: 504 Publication Date: 04 August 2011 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Awaiting stock  The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you. Table of ContentsReviewsFrom the book reviews: This book is designed as an introductory reference and is written in an elegant and intuitive manner so as to enable students to understand such important and challenging topics as time series, system identification and recursive estimation methods. ... The book is highly recommended for the bookshelf of any student or practitioner who is beginning to deal with stochastic modelling, as well as for academics who need to explore methods beyond standard linear regressions for the process under study. (Juan R. Trapero, International Journal of Forecasting, October, 2014) From the book reviews: This book is designed as an introductory reference and is written in an elegant and intuitive manner so as to enable students to understand such important and challenging topics as time series, system identification and recursive estimation methods. The book is highly recommended for the bookshelf of any student or practitioner who is beginning to deal with stochastic modelling, as well as for academics who need to explore methods beyond standard linear regressions for the process under study. (Juan R. Trapero, International Journal of Forecasting, October, 2014) Author InformationTab Content 6Author Website:Countries AvailableAll regions |
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