Time series analysis and its applications - Info and Reading Options
By Robert H Shumway, Robert H. Shumway and David S. Stoffer
"Time series analysis and its applications" was published by Springer in 2000 - New York, it has 549 pages and the language of the book is English.
“Time series analysis and its applications” Metadata:
- Title: ➤ Time series analysis and its applications
- Authors: Robert H ShumwayRobert H. ShumwayDavid S. Stoffer
- Language: English
- Number of Pages: 549
- Publisher: Springer
- Publish Date: 2000
- Publish Location: New York
“Time series analysis and its applications” Subjects and Themes:
- Subjects: ➤ Time-series analysis - Literary collections - Statistics - Mathematical statistics - Statistical Theory and Methods - Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences - Statistics for Life Sciences, Medicine, Health Sciences - Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
Edition Specifications:
- Pagination: xiii, 549 p. :
Edition Identifiers:
- The Open Library ID: OL16972191M - OL11993598W
- Online Computer Library Center (OCLC) ID: 42392178
- Library of Congress Control Number (LCCN): 99046583
- ISBN-10: 0387989501
- All ISBNs: 0387989501
AI-generated Review of “Time series analysis and its applications”:
"Time series analysis and its applications" Description:
The Open Library:
"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.
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