000			01856nam a22002537a 4500
003			OSt
005			20260824122944.0
008			260824b |||||||| |||| 00| 0 eng d
020			_a9783319524511
041			_aeng
082			_a519.5 SHU-T
100			_aShumway,Robert H _932186
245			_aTime series analysis and its applications: with R examples
260			_aCham ,Switzerland _b Springer International Publishing _c 2017
440			_aSpringer Texts in Statistics, _996211
505			_a1. Characteristics of Time Series -- 2. Time Series Regression and Exploratory Data Analysis -- 3. ARIMA Models -- 4. Spectral Analysis and Filtering -- 5. Additional Time Domain Topics -- 6. State-Space Models -- 7. Statistical Methods in the Frequency Domain -- 8. Appendix A: Large Sample Theory -- Appendix B: Time Domain Theory -- Appendix C: Spectral Domain Theory -- Appendix R: R Supplement
520			_aThe 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 ...
650			_aStatistics _996212
650			_a Statistical Theory and Methods _996213
650			_a Statistics for Life Sciences, Medicine, Health Sciences _996214
700			_aStoffer,David S _996215
942			_cBK
999			_c201030 _d201030