Dòng Nội dung
1
Introductory time series with R / Paul S P Cowpertwait; Andrew V Metcalfe
New York : Springer, 2009
254 p.
Ký hiệu phân loại (DDC): 519.2
"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"
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2
Time series analysis : with applications in R / Jonathan D Cryer; Kung-sik Chan
New York : Springer, 2008
491 p.
Ký hiệu phân loại (DDC): 519.5
This book presents an accessible approach to understanding time series models and their applications. The ideas and methods are illustrated with both real and simulated data sets. A unique feature of this edition is its integration with the R computing environment.
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