Isbn: 9783319524511 - time series analysis and its applications: with r examples (springer texts in statistics) (13 resultados)

Condición: Very Good. paperback. Wrappers are firm, text block clean, without highlights/underlining or markings. Some rubbing/curling to wrappers. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped.

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Condición: Good. Has some wear and creases. Has a remainder mark. paperback Used - Good 2017.

Condición: Acceptable. Readable, but has significant damage / tears. Has a remainder mark. paperback Used - Acceptable 2017.

Softcover. Condición: Very Good. Clean copy. Photos upon request. International shipping billed at cost.; Springer Texts In Statistics; 7.25 X 1 X 10.25 inches; 575 pages.

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paperback. Condición: Sehr gut. 575 Seiten; 9783319524511.2 Gewicht in Gramm: 3.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The fourth edition of this popular graduate textbook, like its predecessors, presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty.The book is designed as a textbook 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. In addition to coverage of classical methods of time series regression, ARIMA models, spectral analysis and state-space models, the text includes modern developments including categorical time series analysis, multivariate spectral methods, long memory series, nonlinear models, resampling techniques, GARCH models, ARMAX models, stochastic volatility, wavelets, and Markov chain Monte Carlo integration methods.This edition includes R code for each numerical example in addition to Appendix R, which provides a reference for the data sets and R scripts used in the text in addition to a tutorial on basic R commands and R time series.An additional file is available on the book's website for download, making all the data sets and scripts easy to load into R.…

Condición: gut. 2017. Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics) In deutscher Sprache. pages.

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The fourth edition of this popular graduate textbook, like its predecessors, presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty.The book is designed as a textbook 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. In addition to coverage of classical methods of time series regression, ARIMA models, spectral analysis and state-space models, the text includes modern developments including categorical time series analysis, multivariate spectral methods, long memory series, nonlinear models, resampling techniques, GARCH models, ARMAX models, stochastic volatility, wavelets, and Markov chain Monte Carlo integration methods.This edition includes R code for each numerical example in addition to Appendix R, which provides a reference for the data sets and R scripts used in the text in addition to a tutorial on basic R commands and R time series.An additional file is available on the book's website for download, making all the data sets and scripts easy to load into R. 576 pp. Englisch.…