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Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
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Time Series - A Data Analysis Approach Using R (Hardcover)
Loot Price: R2,183
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Time Series - A Data Analysis Approach Using R (Hardcover)
Series: Chapman & Hall/CRC Texts in Statistical Science
Expected to ship within 9 - 15 working days
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The goals of this text are to develop the skills and an
appreciation for the richness and versatility of modern time series
analysis as a tool for analyzing dependent data. A useful feature
of the presentation is the inclusion of nontrivial data sets
illustrating the richness of potential applications to problems in
the biological, physical, and social sciences as well as medicine.
The text presents a balanced and comprehensive treatment of both
time and frequency domain methods with an emphasis on data
analysis. Numerous examples using data illustrate solutions to
problems such as discovering natural and anthropogenic climate
change, evaluating pain perception experiments using functional
magnetic resonance imaging, and the analysis of economic and
financial problems. The text can be used for a one semester/quarter
introductory time series course where the prerequisites are an
understanding of linear regression, basic calculus-based
probability skills, and math skills at the high school level. All
of the numerical examples use the R statistical package without
assuming that the reader has previously used the software. Robert
H. Shumway is Professor Emeritus of Statistics, University of
California, Davis. He is a Fellow of the American Statistical
Association and has won the American Statistical Association Award
for Outstanding Statistical Application. He is the author of
numerous texts and served on editorial boards such as the Journal
of Forecasting and the Journal of the American Statistical
Association. David S. Stoffer is Professor of Statistics,
University of Pittsburgh. He is a Fellow of the American
Statistical Association and has won the American Statistical
Association Award for Outstanding Statistical Application. He is
currently on the editorial boards of the Journal of Forecasting,
the Annals of Statistical Mathematics, and the Journal of Time
Series Analysis. He served as a Program Director in the Division of
Mathematical Sciences at the National Science Foundation and as an
Associate Editor for the Journal of the American Statistical
Association and the Journal of Business & Economic Statistics.
General
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