Author: Paul S.P. Cowpertwait
Edition: 2009
Publisher: Springer
Binding: Paperback
ISBN: 0387886974
Price:
You Save: 40%
Introductory Time Series with R (Use R!)
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.Introductory Time Series with R review. 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 dataRead full reviews of introductory time series with r cowpertwait, paul s. p./ metcalfe, andrew.
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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 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 enha
author andrew metcalfe author paul sp cowpertwait format paperback language english publication year 01 04 2009 series use r subject mathematics sciences subject 2 science mathematics textbooks study guides title introductory time series with r author cowpertwait paul sp metcalfe andrew publisher springer verlag publication date may 29 2009 pages 256 binding paperback edition 1 st dimensions 6 14 wx 9 21 hx 0 56 d isbn 0387886974 subject mathematics probability statistics general brand new p
Springer 9780387886978 Introductory Time Series with R Description 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 the open source software R. Each time series model is motivated with practical applications, and is defined in mathematical notation. Once
Introductory Time Series with R : Paperback : Springer-Verlag New York Inc. : 9780387886978 : 0387886974 : 01 Jun 2009 : This book gives the reader a step-by-step introduction to analyzing time series using the open source software R. Each time series model is illustrated through practical applications addressing contemporary issues, and is defined in mathematical notation.
Store Search search Title, ISBN and Author Introductory Time Series with R by Paul SP Cowpertwait, Andrew Metcalfe Estimated delivery 3-12 business days Format Paperback Condition Brand New This book gives the reader a step-by-step introduction to analyzing time series using the open source software R. Each time series model is illustrated through practical applications addressing contemporary issues, and is defined in mathematical notation. Publisher Description Yearly global mean temperatur
Introductory Time Series with R Reviews
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://www.massey.ac.nz/~pscowper/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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