Time series analysis and its applications
with R examples
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Contributions
- Stoffer, David S. - Contributor
Publication
2009 - World Pub. Corp., Beijing, China
Language
English
Word Count
143,750 words, Guess
Page Count
575 pages
Identifiers
- Internet Archivetimeseriesanalys0000shum
- ISBN-107510004381
- ISBN-139787510004384
- OCLC Control Number661035024
- Open LibraryOL27727885M
Classifications
- LCCQA280 .S585 2006
- LCCQA280 .S585 2000
Description
"Time Series Analysis and Its Applications presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using non trivial data illustrate solutions to problems such as evaluating pain perception experiments using magnetic resonance imaging or monitoring a nuclear test ban treaty. The book is designed to be useful as a text for graduate-level students in the physical, biological, and social sciences and as a graduate-level text in statistics. Some parts may also serve as an undergraduate introductory course.". "Theory and methodology are separated to allow presentations on different levels. Material from the earlier 1988 Prentice-Hall text Applied Statistical Time Series Analysis has been updated by adding modern developments involving categorical time series analysis and the spectral envelope, multivariate spectral methods, long memory series, nonlinear models, longitudinal data analysis, resampling techniques, ARCH models, stochastic volatility, wavelets, and Monte Carlo Markov chain integration methods. These odd to a classical coverage of time series regression, univariate and multivariate ARIMA models, spectral analysis, and state-space models. The book is complemented by offering accessibility, via the World Wide Web, to the data and an exploratory time series analysis program ASTSA for Windows that can be downloaded as Freeware."--BOOK JACKET.
Subjects
Topics
Series Statement
- Springer texts in statistics
Other Editions
- Time series analysis and its applications
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