Time Series, 2nd Edition
A Data Analysis Approach Using R
$246.95
- Paperback
278 pages
- Release Date
8 February 2026
Summary
The goals of this new, second edition of this book are to develop the skills and an appreciation for the richness and versatility of modern time series analysis as a tool for analyzing dependent data. An expanded feature of this edition is the inclusion of many nontrivial data sets illustrating the wealth of potential applications to problems in the biological, physical, and social sciences as well as in economics and medicine.
This edition emphasizes a variety of methodological techn…
Book Details
| ISBN-13: | 9781041031642 |
|---|---|
| ISBN-10: | 1041031645 |
| Author: | Robert H. Shumway, David S. Stoffer |
| Publisher: | Taylor & Francis Ltd |
| Imprint: | CRC Press |
| Format: | Paperback |
| Number of Pages: | 278 |
| Edition: | 2nd |
| Release Date: | 8 February 2026 |
| Weight: | 540g |
| Dimensions: | 234mm x 156mm |
| Series: | Chapman & Hall/CRC Texts in Statistical Science |
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About The Author
Robert H. Shumway
Robert H. Shumway was Professor of Statistics, University of California, Davis. He was a Fellow of the American Statistical Association and won the American Statistical Association Award for Outstanding Statistical Application. He was the author of numerous texts and served on editorial boards such as the Journal of Forecasting and the Journal of the American Statistical Association.
David S. Stoffer is Professor Emeritus of Statistics, University of Pittsburgh. He is a Fellow of the American Statistical Association and has won the American Statistical Association Award for Outstanding Statistical Application. He was on the editorial boards of the Journal of Forecasting, the Annals of Statistical Mathematics, and the Journal of Time Series Analysis. He served as a Program Director in the Division of Mathematical Sciences at the National Science Foundation and as an Associate Editor for the Journal of the American Statistical Association and the Journal of Business & Economic Statistics. The authors have also published the more advanced Time Series Analysis and Its Application: With R Examples, Fifth Edition.
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