This book provides a comprehensive introduction to the theory and practice of time series analysis. Topics include o ARIMA probability models o forecasting methods o spectral analysis o linear systems o state-space models o Kalman filter. Building on the success of earlier editions, the fourth edition serves as a valuable text for undergraduates and postgraduates taking courses in time series as well as provides an excellent resource for self-study.
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This book provides a comprehensive introduction to the theory and practice of time series analysis.
Topics include o ARIMA probability models o forecasting methods o spectral analysis o linear systems o state-space models o Kalman filter. Building on the success of earlier editions, the fourth edition serves as a valuable text for undergraduates and postgraduates taking courses in time series as well as provides an excellent resource for self-study.
This study aims to provide a comprehensible introduction which considers both theory and practice. Practical examples are considered to help the reader tackle the analysis of real data. The book assumes a knowledge of basic probability theory and elementary statistical inference. This book is intended for undergraduate or postgraduate courses in time series or for self-tuition by research workers. There is a new chapter on state-space models and other chapters have been extensively revised.
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Paperback. Zustand: Very Good. The Analysis of Time Series: An Introduction, Sixth Edition (Chapman & Hall Statistics Text Series) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. Artikel-Nr. 7719-9780412318207
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Paperback. Zustand: Very Good. 4th Edition. Paperback. The Analysis of Time Series. Previous owners name to inside cover page and title page. The book provides a comprehensible introduction to the analysis of time series, which arise in many branches of science, including exonomics, biology, physics and electrical engineering. A variety of practical examples are given to support the theory. The book covers a wide range of time-series topics, including probability models for time series. Box-Jenkins forecasting, special analysis, linear systems and system indification. The fourth edition has been substantially revised throughout to take account of recent tresearch findings, particularly on comparative forecasting. An important addition is a new chapter describing state-space models and the Kalman filter. This newe edition will be a valuable text for use by both undergraduates and postgraduates taking courses in time series, as well as for students and researchers who wish to use the book for self-tuition. 241 pp. (We carry a wide selection of titles in The Arts, Theology, History, Politics, Social and Physical Sciences. academic and scholarly books and Modern First Editions, Reference books ,and all types of Academic Literature.). Artikel-Nr. 095919
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