You can listen to this audiobook in formats: OGG, FLAC, WavPack, WMA, MP3, WAV, MPEG4 (compression CAB, RAR, TGZ, BZ, ZIP, ACE)
Total pages original book: 256
Includes a PDF summary of 27 pages
Duration of the summary (audio): 21M48S (5.4 MB)
Description or summary of the audiobook: 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.
Other categories, genre or collection: Mathematical & Statistical Software, Probability & Statistics, Environmental Science, Engineering & Technology, Sales & Marketing, Electronics Engineering, Computer Science, Econometrics
Download servers: Mediafire, MEGA, Librevault, Torrent, Google Drive, BitShare, pyget, EasyBytez, Dropbox. Compressed in CAB, RAR, TGZ, BZ, ZIP, ACE