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Details about Time Series Analysis and Its Applications With R Examples 9783319524511
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312873173406
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Item specifics
| Condition: |
Brand new: A new, unread, unused book in perfect condition with no missing or damaged pages. See the
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Format: | Paperback |
| Depth: | 32mm | Language: | English |
| Weight: | 1088g | Author: | Robert H. Shumway |
| Publication Year: | 2017 | Imprint: | Springer International Publishing AG |
| Publisher: | Springer International Publishing AG | Series: | Springer Texts in Statistics |
| Modified Item: | No | Publication Country: | CH |
| Topic: | N/A | Country/Region of Manufacture: | Switzerland |
| Special Attributes: | N/A | Title: | Time Series Analysis and Its Applications |
| Type: | N/A | ISBN-10: | N/A |
| Era: | N/A | Edition: | 4 |
| Subjects: | N/A | Pagination: | 562 |
| Country: | N/A | Width: | 178mm |
| Region: | N/A | Height: | 255mm |
| City: | N/A | ISBN: | 9783319524511 |
| EAN: | 9783319524511 |
About this product
| Product Information | |
| The fourth edition of this popular graduate textbook, like its predecessors, presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using ntrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty. The book is designed as a textbook for graduate level students in the physical, biological, and social sciences and as a graduate level text in statistics. Some parts may also serve as an undergraduate introductory course. Theory and methodology are separated to allow presentations on different levels. In addition to coverage of classical methods of time series regression, ARIMA models, spectral analysis and state-space models, the text includes modern developments including categorical time series analysis, multivariate spectral methods, long memory series, nlinear models, resampling techniques, GARCH models, ARMAX models, stochastic volatility, wavelets, and Markov chain Monte Carlo integration methods. This edition includes R code for each numerical example in addition to Appendix R, which provides a reference for the data sets and R scripts used in the text in addition to a tutorial on basic R commands and R time series. An additional file is available on the book's website for download, making all the data sets and scripts easy to load into R. | |
| Product Identifiers | |
| Publisher | Springer International Publishing Ag |
| ISBN-10 | 3319524518 |
| ISBN-13 | 9783319524511 |
| eBay Product ID (ePID) | 232581416 |
| Product Key Features | |
| Format | Paperback |
| Language | English |
| Additional Product Features | |
| Author(s) | David S. Stoffer, Robert H. Shumway |
| Place of Publication | Cham |
| Series Title | Springer Texts in Statistics |
| Edition Statement | 4th Revised Edition |
| Content Note | 78 Black & White Illustrations, 70 Colour Illustrations, 66 Colour Tables, Biography |
| Author Biography | Robert H. Shumway, PhD, is Professor Emeritus of Statistics at the University of California, Davis. He is a Fellow of the American Statistical Association and a member of the International Statistical Institute. He won the 1986 American Statistical Association Award for Outstanding Statistical Application and the 1992 Communicable Diseases Center Statistics Award; both awards were for joint papers on time series applications. He is also the author of a Prentice-Hall text on applied time series analysis and served as a Departmental Editor for the Journal of Forecasting and Associate Editor for the Journal of the American Statistical Association. David S. Stoffer, PhD, is Professor of Statistics at the University of Pittsburgh. He is a Fellow of the American Statistical Association and has made seminal contributions to the analysis of categorical time series. David won the 1989 American Statistical Association Award for Outstanding Statistical Application in a joint paper analyzing categorical time series arising in infant sleep-state cycling. He is currently a Departmental Editor of the Journal of Forecasting and an Associate Editor of the Annals of Statistical Mathematics. He has served as Program Director in the Division of Mathematical Sciences at the National Science Foundation and as Associate Editor for the Journal of the American Statistical Association. |
| Country of Publication | Switzerland |
| Subject | Mathematics |
| Imprint | Springer International Publishing Ag |
| Date of Publication | 19/04/2017 |
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