Time Series Analysis and Its Applications (original) (raw)

Overview

Authors:

• David S. Stoffer 1

1. Robert H. Shumway
   1. Division of Statistics, University of California, Davis, Davis, USA
2. David S. Stoffer
   1. Department of Statistics, University of Pittsburgh, Pittsburg, USA

• 11k Accesses
• 1161 Citations
• 1 Altmetric

Access this book

Log in via an institution

Other ways to access

About this book

The goals of this book are to develop an appreciation for the richness and versatility of modern time series analysis as a tool for analyzing data, and still maintain a commitment to theoretical integrity, as exemplified by the seminal works of Brillinger (1981) and Hannan (1970) and the texts by Brockwell and Davis (1991) and Fuller (1995). The advent of more powerful computing, es­ pecially in the last three years, has provided both real data and new software that can take one considerably beyond the fitting of·simple time domain mod­ els, such as have been elegantly described in the landmark work of Box and Jenkins (1970). The present book is designed to be useful as a text for courses in time series on several different levels and as a reference work for practition­ ers facing the analysis of time-correlated data in the physical, biological, and social sciences. We believe the book will be useful as a text at both the undergraduate and graduate levels. An undergraduate course can be accessible to students with a background in regression analysis and might include Sections 1. 1-1. 8, 2. 1-2. 9, and 3. 1-3. 8. Similar courses have been taught at the University of California (Berkeley and Davis) in the past using the earlier book on applied time series analysis by Shumway (1988). Such a course is taken by undergraduate students in mathematics, economics, and statistics and attracts graduate students from the agricultural, biological, and environmental sciences.

Similar content being viewed by others

Keywords

Table of contents (5 chapters)

Reviews

From the reviews of the second edition:

"The book gives an introduction to time series analysis. It is designed as a textbook at both the undergraduate and graduate level and as a reference work for practitioners … . This now available second edition of the book differs from the first … by several substantial changes. … the presentation has improved. The consideration of new material makes it more attractive as well. Moreover, the use of the R package … makes the book more interesting … ." (Wolfgang Schmid, Zentrablatt MATH, Vol. 1096 (22), 2006)

"This is the second edition of a text first published in 2000 … . The text is intended as a course text for a time series analysis class at the graduate level. … I believe that every time series teacher and researcher should own this text." (Robert Lund, Journal of the American Statistical Association, Vol. 102 (479), 2007)

"This is the second edition of a text first published in 2000 … . The book is intended as a course text for a graduate-level time series analysis class. It presents a very readable introduction to time series, and uses numerous examples based on nontrivial data to illustrate the methods. … Altogether, the book offers a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Compared to other established texts, it presents a more modern slice of the discipline." (Rainer Schlittgen, Advances in Statistical Analysis, Vol. 92, 2008)

"A textbook aimed at graduate-level students, while … the book could also serve as an undergraduate introductory course in time series analysis. … The clear division between time and frequency domain methods produces a well balanced and comprehensive treatment of modern time series analysis … . The book certainly fulfils its claim to be suitable as a textbook for courses at both the undergraduate and graduate levels, as tutors can pick and choose from an abundanceof material at different levels of complexity." (Pieter Bastiaan Ober, Journal of Applied Statistics, Vol. 35 (2), 2008)

Authors and Affiliations

• Division of Statistics, University of California, Davis, Davis, USA

Robert H. Shumway

• Department of Statistics, University of Pittsburgh, Pittsburg, USA

David S. Stoffer

Accessibility Information

Accessibility information for this book is coming soon. We're working to make it available as quickly as possible. Thank you for your patience.

Bibliographic Information

• Book Title: Time Series Analysis and Its Applications
• Authors: Robert H. Shumway, David S. Stoffer
• Series Title: Springer Texts in Statistics
• DOI: https://doi.org/10.1007/978-1-4757-3261-0
• Publisher: Springer New York, NY
• eBook Packages: Springer Book Archive
• Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature 2000
• eBook ISBN: 978-1-4757-3261-0Published: 14 March 2013
• Series ISSN: 1431-875X
• Series E-ISSN: 2197-4136
• Edition Number: 1
• Number of Pages: XIII, 551
• Number of Illustrations: 97 b/w illustrations
• Topics: Statistical Theory and Methods, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Statistics for Life Sciences, Medicine, Health Sciences, Statistics for Social Sciences, Humanities, Law

Publish with us

Back to top