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"quite possibly the most accessible introductory text on the subject. Chatfield's is most highly recommended whether as a teaching text or one for self-instruction." - Journal of the Royal Statistical Society, Issue 167 (4) "This textbook is well-known for everyone who is interested in time series analysisa substantial revision has taken placeit is an excellent textbook for undergraduate and postgraduate students, and can also be used by research workers as a reference or for self-tuition." -Zentralblatt MATH 1050 ..." there is no question that this text is the most accessible text on time series in existence..." -Dennis Cox, Rice University "The author's conversational style helps the reader to understand inherently difficult topics." - Journal of Quality Technology "This well-written book provides an excellent nontechnical introduction..." - Journal of the American Statistical Association ..."the only book I would recommend to readers for a safe, practically minded, non-mathematical introduction to a fairly broad cross section of topics..." - Neville Davies, Nottingham Trent University
Product Description
Now in its sixth edition, this book provides an accessible, comprehensive introduction to the theory and practice of time series analysis. It covers a wide range of topics, including ARIMA probability models, forecasting methods, spectral analysis, linear systems, state-space models, and the Kalman filter. It also addresses nonlinear, multivariate, and long-memory models. Building on the success of earlier editions, the sixth edition was thoroughly revised and updated, and all of the data sets are available for download from the Internet. Its polished presentation and broad coverage make this simply the best introductory text on the subject available.
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"quite possibly the most accessible introductory text on the subject. Chatfield's is most highly recommended whether as a teaching text or one for self-instruction." - Journal of the Royal Statistical Society, Issue 167 (4) "This textbook is well-known for everyone who is interested in time series analysisa substantial revision has taken placeit is an excellent textbook for undergraduate and postgraduate students, and can also be used by research workers as a reference or for self-tuition." -Zentralblatt MATH 1050 ..." there is no question that this text is the most accessible text on time series in existence..." -Dennis Cox, Rice University "The author's conversational style helps the reader to understand inherently difficult topics." - Journal of Quality Technology "This well-written book provides an excellent nontechnical introduction..." - Journal of the American Statistical Association ..."the only book I would recommend to readers for a safe, practically minded, non-mathematical introduction to a fairly broad cross section of topics..." - Neville Davies, Nottingham Trent University
Product Description
Now in its sixth edition, this book provides an accessible, comprehensive introduction to the theory and practice of time series analysis. It covers a wide range of topics, including ARIMA probability models, forecasting methods, spectral analysis, linear systems, state-space models, and the Kalman filter. It also addresses nonlinear, multivariate, and long-memory models. Building on the success of earlier editions, the sixth edition was thoroughly revised and updated, and all of the data sets are available for download from the Internet. Its polished presentation and broad coverage make this simply the best introductory text on the subject available.
See all Product Description
Inside This Book
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First Sentence
A time series is a collection of observations made sequentially through time. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index
A time series is a collection of observations made sequentially through time. Read the first page
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Concordance
Browse Sample PagesConcordance
Front Cover | Copyright | Table of Contents | Excerpt | Index
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84% buy the item featured on this page: The Analysis of Time Series: An Introduction (Chapman & Hall Texts in Statistical Science) £34.19 |
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