The Analysis of Time Series
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The Analysis of Time Series
Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
This new edition of this classic title, now in its seventh edition, presents a balanced and comprehensive introduction to the theory, implementation, and practice of time series analysis.
This new edition of this classic title, now in its seventh edition, presents a balanced and comprehensive introduction to the theory, implementation, and practice of time series analysis.
The Analysis of Time Series covers a wide range of topics, including ARIMA models, forecasting methods, spectral analysis, linear systems, state-space models, the Kalman filters, nonlinear models, volatility models, and multivariate models.
Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?
Reviewers praise the book for its accessibility and comprehensive coverage. Chitaranjan Mahapatra commends the authors for providing reliable data, clear explanations, and helpful exercises, noting it as an excellent resource for students ranging from undergraduates to early-stage PhD candidates in fields such as mathematics, economics, statistics, and biomedical engineering. The book is valued for its balanced presentation and insight into a wide array of time series topics.
Book Details
INFORMATION
ISBN: 9781138066137
Publisher: Taylor & Francis Ltd
Format: Hardback
Date Published: 08 May 2019
Country: United Kingdom
Imprint: CRC Press
Edition: 7th edition
Illustration: 85 Line drawings, black and white; 85 Illustrations, black and white
Audience: Tertiary education
DIMENSIONS
Width: 156.0mm
Height: 234.0mm
Weight: 725g
Pages: 414
About the Author
Chris Chatfield is a retired Reader in Statistics at the University of Bath, UK, the author of five books and numerous research papers, and an elected Honorary Fellow of the International Institute of Forecasters.
Haipeng Xing is an associate professor in Applied Mathematics and Statistics at the State University of New York, Stony Brook, USA, the author of two books and numerous research papers. His research interests include quantitative finance and risk management, econometrics, applied stochastic control, and sequential statistical methodology.
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