LEADER 01487nam 2200469 450 001 9910798136803321 005 20230126214322.0 010 $a80-246-3297-7 035 $a(CKB)3710000000637180 035 $a(EBL)4543688 035 $a(MiAaPQ)EBC4543688 035 $a(Au-PeEL)EBL4543688 035 $a(CaPaEBR)ebr11232043 035 $a(OCoLC)953658274 035 $a(EXLCZ)993710000000637180 100 $a20160725h20162016 uy 0 101 0 $acze 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aEkonomie, ekologie, eudaimonia $eLidske? hodnoty a proble?my rozvoje civilizace /$fLubomi?r Mlcoch, Jiri Kameni?cek 210 1$aPraze, [Czech Republic] :$cKarolium,$d2016. 210 4$dİ2016 215 $a1 online resource (94 p.) 300 $aDescription based upon print version of record. 311 $a80-246-3280-2 320 $aIncludes bibliographical references. 606 $aEconomic development$xSocial aspects 606 $aEconomic development$xEnvironmental aspects 615 0$aEconomic development$xSocial aspects. 615 0$aEconomic development$xEnvironmental aspects. 676 $a303.44 700 $aMlc?och$b Lubomi?r$01471879 702 $aKameni?cek$b Jiri 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910798136803321 996 $aEkonomie, ekologie, eudaimonia$93728734 997 $aUNINA LEADER 04628nam 22006495 450 001 9910863136103321 005 20250402124400.0 010 $a3-662-62436-2 024 7 $a10.1007/978-3-662-62436-4 035 $a(CKB)4100000011610307 035 $a(MiAaPQ)EBC6407545 035 $a(DE-He213)978-3-662-62436-4 035 $a(PPN)252503090 035 $a(EXLCZ)994100000011610307 100 $a20201123d2020 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSingular Spectrum Analysis for Time Series /$fby Nina Golyandina, Anatoly Zhigljavsky 205 $a2nd ed. 2020. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2020. 215 $a1 online resource (IX, 146 p. 44 illus., 38 illus. in color.) 225 1 $aSpringerBriefs in Statistics,$x2191-5458 311 08$a3-662-62435-4 327 $a1 Introduction -- 1.1 Overview of SSA methodology and the structure of the book -- 1.2 SSA and other techniques -- 1.3 Computer implementation of SSA -- 1.4 Historical and bibliographical remarks -- 1.5 Common symbols and acronyms -- 2 Basic SSA - 2.1 The main algorithm -- 2.2 Potential of Basic SSA -- 2.3 Models of time series and SSA objectives -- 2.4 Choice of parameters in Basic SSA -- 2.5 Some variations of Basic SSA -- 2.6 Multidimensional and multivariate extensions of SSA -- 3 SSA for forecasting, interpolation, filtering and estimation -- 3.1 SSA forecasting algorithms -- 3.2 LRR and associated characteristic polynomials -- 3.3 Recurrent forecasting as approximate continuation -- 3.4 Confidence bounds for the forecasts -- 3.5 Summary and recommendations on forecasting parameters -- 3.6 Case study: ?Fortified wine? -- 3.7 Imputation of missing values -- 3.8 Subspace-based methods and estimation of signal parameters -- 3.9 SSA and filters -- 3.10 Multidimensional/Multivariate SSA. 330 $aThis book gives an overview of singular spectrum analysis (SSA). SSA is a technique of time series analysis and forecasting combining elements of classical time series analysis, multivariate statistics, multivariate geometry, dynamical systems and signal processing. SSA is multi-purpose and naturally combines both model-free and parametric techniques, which makes it a very special and attractive methodology for solving a wide range of problems arising in diverse areas. Rapidly increasing number of novel applications of SSA is a consequence of the new fundamental research on SSA and the recent progress in computing and software engineering which made it possible to use SSA for very complicated tasks that were unthinkable twenty years ago. In this book, the methodology of SSA is concisely but at the same time comprehensively explained by two prominent statisticians with huge experience in SSA. The book offers a valuable resource for a very wide readership, including professional statisticians, specialists in signal and image processing, as well as specialists in numerous applied disciplines interested in using statistical methods for time series analysis, forecasting, signal and image processing. The second edition of the book contains many updates and some new material including a thorough discussion on the place of SSA among other methods and new sections on multivariate and multidimensional extensions of SSA. 410 0$aSpringerBriefs in Statistics,$x2191-5458 606 $aStatistics 606 $aStatistics 606 $aSignal processing 606 $aBiometry 606 $aStatistical Theory and Methods 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 606 $aSignal, Speech and Image Processing 606 $aStatistics in Business, Management, Economics, Finance, Insurance 606 $aBiostatistics 615 0$aStatistics. 615 0$aStatistics. 615 0$aSignal processing. 615 0$aBiometry. 615 14$aStatistical Theory and Methods. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 24$aSignal, Speech and Image Processing. 615 24$aStatistics in Business, Management, Economics, Finance, Insurance. 615 24$aBiostatistics. 676 $a519.55 700 $aGolyandina$b Nina$0145508 702 $aZhigljavsky$b Anatoly 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910863136103321 996 $aSingular Spectrum Analysis for Time Series$92510999 997 $aUNINA