<p><p>Yearly global mean temperature and ocean levels, daily share prices, and the signals transmitted back to Earth by the Voyager space craft are all examples of sequential observations over time known as time series. This book gives you a step-by-step introduction to analysing time series using t
Introductory Time Series with R
โ Scribed by Andrew V. Metcalfe, Paul S.P. Cowpertwait (auth.)
- Publisher
- Springer-Verlag New York
- Year
- 2009
- Tongue
- English
- Leaves
- 262
- Series
- Use R
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Subjects
Environmental Monitoring/Analysis; Signal, Image and Speech Processing; Econometrics; Marketing; Probability and Statistics in Computer Science; Statistical Theory and Methods
๐ SIMILAR VOLUMES
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,
Rhasacommandlineinterfacethato?ersconsiderableadvantagesovermenu systemsintermsofe?ciencyandspeedoncethecommandsareknownandthe languageunderstood. However, thecommandlinesystemcanbedauntingfor the?rst-timeuser, sothereisaneedforconcisetextstoenablethestudentor analysttomakeprogresswithRintheirareaof
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,