Title
Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics),Used
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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 nontrivial 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 statespace models, the text includes modern developments including categorical time series analysis, multivariate spectral methods, long memory series, nonlinear 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 books website for download, making all the data sets and scripts easy to load into R.
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- Q: How many pages does this book have? A: This book has five hundred seventy-five pages. It provides a comprehensive exploration of time series analysis with numerous examples.
- Q: What is the binding type of this book? A: The binding type is paperback. This makes it a suitable choice for both classroom and personal study.
- Q: What are the dimensions of this book? A: The dimensions are six point sixteen inches in length, one point twenty-two inches in width, and nine point twenty-six inches in height. These measurements make it easy to handle and store.
- Q: What subjects does this book cover? A: This book covers time series analysis and its applications in various fields. It is particularly relevant for graduate students in statistics and related disciplines.
- Q: Is this book suitable for beginners? A: Yes, some parts may serve as an introductory course for undergraduates. However, it is primarily designed for graduate-level students.
- Q: How can I apply the concepts from this book? A: You can apply concepts through practical examples provided in R code. The book includes tutorials on basic R commands for effective learning.
- Q: Can I use this book for self-study? A: Yes, this book is suitable for self-study. It offers clear explanations and numerous examples to facilitate independent learning.
- Q: Is the book's content suitable for professionals? A: Yes, professionals in physical, biological, and social sciences will find the content highly relevant and applicable to real-world problems.
- Q: What is the best way to keep this book in good condition? A: Store it in a cool, dry place and avoid direct sunlight. Handling it carefully will also help maintain its condition.
- Q: How should I clean this book if it gets dirty? A: To clean the book, gently wipe it with a dry microfiber cloth. Avoid using water or cleaning solutions to prevent damage.
- Q: Does this book come with supplementary materials? A: Yes, there is additional material available for download from the book's website, including data sets and R scripts.
- Q: What if I need to return this book? A: Check the return policy of the seller. Most retailers allow returns within a specified period if the book is in new condition.
- Q: Is there a warranty for this book? A: Typically, books do not come with a warranty. However, check with the seller for specific policies regarding damaged or defective copies.
- Q: What if I receive a damaged copy of this book? A: Contact the seller immediately to report the issue. Most sellers will offer a replacement or refund for damaged items.
- Q: Can I find this book in libraries? A: Yes, this book is likely available in academic libraries due to its relevance in graduate-level courses on statistics.