Introductory Time Series with R

Download or Read eBook Introductory Time Series with R PDF written by Paul S.P. Cowpertwait and published by Springer Science & Business Media. This book was released on 2009-05-28 with total page 262 pages. Available in PDF, EPUB and Kindle.
Introductory Time Series with R
Author :
Publisher : Springer Science & Business Media
Total Pages : 262
Release :
ISBN-10 : 9780387886985
ISBN-13 : 0387886982
Rating : 4/5 (85 Downloads)

Book Synopsis Introductory Time Series with R by : Paul S.P. Cowpertwait

Book excerpt: This book gives you a step-by-step introduction to analysing time series using the open source software R. Each time series model is motivated with practical applications, and is defined in mathematical notation. Once the model has been introduced it is used to generate synthetic data, using R code, and these generated data are then used to estimate its parameters. This sequence enhances understanding of both the time series model and the R function used to fit the model to data. Finally, the model is used to analyse observed data taken from a practical application. By using R, the whole procedure can be reproduced by the reader. All the data sets used in the book are available on the website http://staff.elena.aut.ac.nz/Paul-Cowpertwait/ts/. The book is written for undergraduate students of mathematics, economics, business and finance, geography, engineering and related disciplines, and postgraduate students who may need to analyse time series as part of their taught programme or their research.


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