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001432628 001__ 1432628
001432628 003__ OCoLC
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001432628 019__ $$a1224362594$$a1228845120$$a1264771065
001432628 020__ $$a3030580555$$qelectronic book
001432628 020__ $$a9783030580551$$q(electronic bk.)
001432628 020__ $$z9783030580544$$qpaperback
001432628 020__ $$z3030580547
001432628 0247_ $$a10.1007/978-3-030-58055-1$$2doi
001432628 035__ $$aSP(OCoLC)1224141937
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001432628 08204 $$a519.5/5$$223
001432628 1001_ $$aPrivalʹskiĭ, V. E.$$q(Viktor Evseevich),$$eauthor.
001432628 24510 $$aTime series analysis in climatology and related sciences /$$cVictor Privalsky.
001432628 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2021]
001432628 264_4 $$c©2021
001432628 300__ $$a1 online resource (xiv, 245 pages) :$$billustrations
001432628 336__ $$atext$$btxt$$2rdacontent
001432628 336__ $$astill image$$bsti$$2rdacontent
001432628 337__ $$acomputer$$bc$$2rdamedia
001432628 338__ $$aonline resource$$bcr$$2rdacarrier
001432628 347__ $$atext file
001432628 347__ $$bPDF
001432628 4901_ $$aProgress in geophysics,$$x2523-8396
001432628 504__ $$aIncludes bibliographical references.
001432628 5050_ $$a1. Introduction -- 2. Basics of scalar random processes -- 3. Time and frequency domain models of scalar time series -- 4. Practical analysis of time Series -- 5. Stochastic models and spectra of climatic and related time series -- 6. Statistical forecasting of geophysical processes -- 7. Bivariate time series analysis -- 8. Teleconnection research and bivariate extrapolation -- 9. Reconstruction of time series -- 10. Frequency domain structure and feedbacks in QBO time series -- 11. Verification of general circulation models -- 12. Applications to proxy data -- 13. Application to sunspot numbers and total solar irradiance -- 14. Multivariate time and frequency domain analysis -- 15. Summary and recommendations.
001432628 506__ $$aAccess limited to authorized users.
001432628 520__ $$aThis book gives the reader the basic knowledge of the theory of random processes necessary for applying to study climatic time series. It contains many examples in different areas of time series analysis such as autoregressive modelling and spectral analysis, linear extrapolation, simulation, causality, relations between scalar components of multivariate time series, and reconstructions of climate data. As an important feature, the book contains many practical examples and recommendations about how to deal and how not to deal with applied problems of time series analysis in climatology or any other science where the time series are short.--$$cProvided by publisher.
001432628 5450_ $$aVictor Privalsky, Water Problems Institute, Russian Academy of Sciences, Moscow, Russia.
001432628 588__ $$aDescription based on print version record.
001432628 650_0 $$aTime-series analysis.
001432628 650_0 $$aClimatology$$xStatistical methods.
001432628 650_6 $$aSérie chronologique.
001432628 655_0 $$aElectronic books.
001432628 77608 $$iPrint version:$$aPrivalsky, V.$$tTime series analysis in climatology and related sciences.$$dCham, Switzerland : Springer, [2021]$$z9783030580544$$w(OCoLC)1220858608
001432628 830_0 $$aProgress in geophysics.
001432628 852__ $$bebk
001432628 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-58055-1$$zOnline Access$$91397441.1
001432628 909CO $$ooai:library.usi.edu:1432628$$pGLOBAL_SET
001432628 980__ $$aBIB
001432628 980__ $$aEBOOK
001432628 982__ $$aEbook
001432628 983__ $$aOnline
001432628 994__ $$a92$$bISE