-21% OFFIntroductory Time Series with R (English, Paul S. P. Cowpertwait | Andrew V. Metcalfe)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9780387886978 |
| ISBN-10 | 0387886974 |
| Author | Paul S. P. Cowpertwait | Andrew V. Metcalfe |
Product Description
Here on GlowMirror, you'll find Introductory Time Series with R filed under Springer -- everything you need to know is covered below.
About the Book
This book is on the analysis of time series using R, with some emphasis on economic and financial series. The text is based on practical applications and emphasizes the value of the statistical anlaysis to researchers and students who can then apply the methods to university research or to problems in industry and commerce.
ISBN: 9780387886978
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Introductory Time Series with R
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Springer
Who Should Read This
Advanced students, researchers, and domain experts seeking in-depth knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
Customer Reviews
Five Stars
This is a most excellent text. The authors combines meticulous pedagogical care with the practitioners' experience.
Excellent and accessible introduction, suitable for all R users
This is an excellent introduction to time series analysis in R, and is suitable for all readers who use R. In contrast to most statistics books, it does not presume an extensive mathematical background. Rather, it is a very much a progressive, didactic text, suitable for leisurely self-learning. The mathematics are presented briefly and appropriately for each topic, but progress and understanding do not depend on absorbing them in depth. It would be suitable, for instance, to social scientists,
Good book for the beginner in time-series.
As stated in the title, this book introduces the reader to a number of time-series analysis methods supported in R. Several packages are presented, and the time-series format. There is a lack of coverage of the most advanced, and therefore more commonly used time-series formats, such as zoo, but I expect that the novice programmer will still find in this book a lot of useful information (and examples) on the various time-series methods and their application through R.
So kehrts
Mit R ist wohl eine Revolution in der angewandten Statistik und Modellierung eingeleitet worden. Analytic Tractability ist nicht mehr das Kriterium. Man kann es auch mit dem Computer simulieren. Dieses Buch ist ein sehr gutes Beispiel für diese Revolution. Die Autoren machen in 12 Kapiteln und 250 Seiten einen relativ umfassenden Streifzug durch die verschiedenen Time-Series Methoden und die dazugehörigen R Funktionen. Es stehen nicht wie früher abstrakte mathematische Sätze sondern konkrete Mod
What I hoped for
Book is comprehensive but accessible to the non-statistician. Plenty of workable examples with simple code. Though not an R coding book, authors use pretty good coding practice and give some practical ideas for implementation. These guys clear up areas where I've previously struggled to get at the root of a method. In short, if you want to write TS proofs and academic papers, get another book. If you want to begin including more sophisticated TS models with your other work, this is the book for
