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The Analysis of Time Series: An Introduction (Texts in Statistical Science) [Englisch] [Taschenbuch]

Chris Chatfield

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Kurzbeschreibung

29. Juli 2003 Texts in Statistical Science (Buch 59)
Since 1975, The Analysis of Time Series: An Introduction has introduced legions of statistics students and researchers to the theory and practice of time series analysis. With each successive edition, bestselling author Chris Chatfield has honed and refined his presentation, updated the material to reflect advances in the field, and presented interesting new data sets. The sixth edition is no exception. It provides an accessible, comprehensive introduction to the theory and practice of time series analysis. The treatment 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. The author has carefully updated each chapter, added new discussions, incorporated new datasets, and made those datasets available for download from www.crcpress.com. A free online appendix on time series analysis using R can be accessed at http://people.bath.ac.uk/mascc/TSA.usingR.doc. Highlights of the Sixth Edition: A new section on handling real data New discussion on prediction intervals A completely revised and restructured chapter on more advanced topics, with new material on the aggregation of time series, analyzing time series in finance, and discrete-valued time series A new chapter of examples and practical advice Thorough updates and revisions throughout the text that reflect recent developments and dramatic changes in computing practices over the last few years The analysis of time series can be a difficult topic, but as this book has demonstrated for two-and-a-half decades, it does not have to be daunting. The accessibility, polished presentation, and broad coverage of The Analysis of Time Series make it simply the best introduction to the subject available.

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Pressestimmen

"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

Synopsis

Since 1975, "The Analysis of Time Series: An Introduction" has introduced legions of statistics students and researchers to the theory and practice of time series analysis. With each successive edition, best-selling author Chris Chatfield has honed and refined his presentation, updated the material to reflect advances in the field, and presented interesting new data sets. The sixth edition is no exception. It provides an accessible, comprehensive introduction to the theory and practice of time series analysis. The treatment 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. The author has carefully updated each chapter, added new discussions, incorporated new datasets, and made those datasets available for download.This sixth edition includes: a new section on Handling Real Data; new discussion on prediction intervals; a completely revised and restructured chapter on more advanced topics, with new material on the aggregation of time series, analyzing time series in finance, and discrete-valued time series; a new chapter of Examples and Practical Advice; and, thorough updates and revisions throughout the text that reflect recent developments and dramatic changes in computing practices over the last few years.

The analysis of time series can be a difficult topic, but as this book has demonstrated for two-and-a-half decades, it does not have to be daunting. The accessibility, polished presentation, and broad coverage of "The Analysis of Time Series" make it simply the best introduction to the subject available.


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In diesem Buch (Mehr dazu)
Einleitungssatz
A time series is a collection of observations made sequentially through time. Lesen Sie die erste Seite
Mehr entdecken
Wortanzeiger
Ausgewählte Seiten ansehen
Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis
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Amazon.com: 3.2 von 5 Sternen  4 Rezensionen
5 von 7 Kunden fanden die folgende Rezension hilfreich
3.0 von 5 Sternen introduction rather than explanation 7. September 2007
Von R. Kocer - Veröffentlicht auf Amazon.com
Format:Taschenbuch
This book should be considered as "only and pure" introduction to the subject. It suffers from the basic problem of social science oriented writing in mathematical issues: while trying to keep out "complicated details" it mystifies and obscures the subject and leaves out a lot of interesting topics. It would have been better to find ways to explain mathematical theory behind the concepts rather than frightening the readers by describing some issues as "deep waters". However, to be fair it is essential to say that the book with its concise manner and modest ambition still deserves some credit
1 von 1 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Also a reference 19. Mai 2013
Von Amazon Customer - Veröffentlicht auf Amazon.com
Format:Taschenbuch
This is the second book (after Bloomfield), one must and should read in time series. Bloomfield and Chatfield are the true references of the last decades of the XX and beginning of the XXI centuries.
10 von 16 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen Excellent introduction to time series. 29. Juli 2005
Von Roy Marsten - Veröffentlicht auf Amazon.com
Format:Taschenbuch|Verifizierter Kauf
I have read the entire book, and I am quite satisfied with it. I think it is an excellent introduction for anyone with the requisite background in calculus, probability, and statistics.
1 von 11 Kunden fanden die folgende Rezension hilfreich
1.0 von 5 Sternen Too basic but complex 5. Juli 2007
Von Polux Ernesto Diaz Ruiz - Veröffentlicht auf Amazon.com
Format:Taschenbuch
It is amazing how complex is this book without the requiered formality for the field. As a very first approach, could be useful, but definitly, Tsai book is better.
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