01164nam0 22002771i 450 SUN002626520051230120000.088-06-11602-920041022d1989 |0itac50 baitaIT|||| |||||Alle radici dell'architettura contemporaneail cantiere e la parolaRoberto Gabetti e Carlo OlmoTorinoEinaudi1989XXIII, 251 p., [16] c. di tav.ill.22 cm.001SUN00167202001 Saggi724210 TorinoEinaudi.TorinoSUNL000001Gabetti, RobertoSUNV0125682300Olmo, CarloSUNV01256910847EinaudiSUNV000030650ITSOL20181109RICASUN0026265BIBLIOTECA DEL DIPARTIMENTO DI ARCHITETTURA E DISEGNO INDUSTRIALE01 PREST IAa25(724) 01 27838 BIBLIOTECA DEL DIPARTIMENTO DI ARCHITETTURA E DISEGNO INDUSTRIALEIT-CE010727838PREST IAa25(724)paAlle radici dell'architettura contemporanea350281UNICAMPANIA04264nam 22007095 450 991098304770332120251001133938.09783031705847303170584X10.1007/978-3-031-70584-7(CKB)37391037500041(MiAaPQ)EBC31890808(Au-PeEL)EBL31890808(DE-He213)978-3-031-70584-7(OCoLC)1499719792(EXLCZ)993739103750004120250128d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierTime Series Analysis and Its Applications With R Examples /by Robert H. Shumway, David S. Stoffer5th ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (822 pages)Springer Texts in Statistics,2197-41369783031705830 3031705831 1. 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.This 5th edition of this popular graduate textbook presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. It includes 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 R package ‘astsa’ has had major updates and the text will reflect those updates. In general, the graphics have been improved. New topics include random number generation, modeling and fitting predator-prey interactions, more emphasis on structural models, testing for linearity, discussion of EM algorithm is more extensive, Bayesian analysis of state space models and MCMC is more extensive (including new scripts in astsa), particle methods are introduced, stochastic volatility coverage is expanded, changepoint detection is introduced (new topic). 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, and Markov chain Monte Carlo integration methods. This edition includes R code for each numerical example.Springer Texts in Statistics,2197-4136StatisticsBiometryStatistical Theory and MethodsBiostatisticsSeries temporalesUAMSUBAnálisis temporalUAMSUBEstadísticathubBiometriathubAnàlisi de sèries temporalsthubLlibres electrònicsthubStatistics.Biometry.Statistical Theory and Methods.Biostatistics.Series temporalesAnálisis temporalEstadísticaBiometriaAnàlisi de sèries temporals519.55B0250InspecShumway Robert H249361Stoffer David S.MiAaPQMiAaPQMiAaPQBOOK9910983047703321Time series analysis and its applications157341UNINA