LEADER 01182nas 2200397 c 450 001 9910894682003321 005 20221102112433.0 024 7 $aurn:nbn:de:0128-1-4155 035 $a(CKB)3790000000118927 035 $a(DE-599)ZDB2475482-1 035 $a(OCoLC)299960127 035 $a(DE-101)992257123 035 $a(EXLCZ)993790000000118927 100 $a20090123b17981799 |y | 101 0 $ager 135 $aurg|||||a|a|a 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aKalender zum Gebrauche der Bewohner der vier neuen Departemente auf dem linken Rheinufer 210 31$aKoblenz$d1798-1799 215 $aOnline-Ressource 300 $aGesehen am: 23.1.2009 607 $aRheinische Departements$2gnd 608 $aZeitschrift$2gnd-content 608 $aRatgeber$2gnd-content 608 $aKalender$2gnd-content 676 $a050 686 $a710$a130$a140$2rpb 801 0$b0929 801 1$bDE-101 801 2$b4022 906 $aJOURNAL 912 $a9910894682003321 996 $aKalender zum Gebrauche der Bewohner der vier neuen Departemente auf dem linken Rheinufer$94265796 997 $aUNINA LEADER 04666nam 22007335 450 001 9910300115803321 005 20250409152803.0 010 $a3-662-57380-6 024 7 $a10.1007/978-3-662-57380-8 035 $a(CKB)4100000004835374 035 $a(DE-He213)978-3-662-57380-8 035 $a(MiAaPQ)EBC5430756 035 $a(PPN)229490980 035 $a(EXLCZ)994100000004835374 100 $a20180614d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSingular Spectrum Analysis with R /$fby Nina Golyandina, Anton Korobeynikov, Anatoly Zhigljavsky 205 $a1st ed. 2018. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2018. 215 $a1 online resource (XIII, 272 p. 121 illus., 106 illus. in color.) 225 1 $aUse R!,$x2197-5744 311 08$a3-662-57378-4 320 $aIncludes bibliographical references and index. 327 $aPreface -- Common symbols and acronyms -- Contents -- 1 Introduction: Overview -- 2 SSA analysis of one-dimensional time series -- 3 Parameter estimation, forecasting, gap filling -- 4 SSA for multivariate time series -- 5 Image processing -- Index -- References. 330 $aThis comprehensive and richly illustrated volume provides up-to-date material on Singular Spectrum Analysis (SSA). SSA is a well-known methodology for the analysis and forecasting of time series. Since quite recently, SSA is also being used to analyze digital images and other objects that are not necessarily of planar or rectangular form and may contain gaps. SSA is multi-purpose and naturally combines both model-free and parametric techniques, which makes it a very special and attractive methodology for solving a wide range of problems arising in diverse areas, most notably those associated with time series and digital images. An effective, comfortable and accessible implementation of SSA is provided by the R-package Rssa, which is available from CRAN and reviewed in this book. Written by prominent statisticians who have extensive experience with SSA, the book (a) presents the up-to-date SSA methodology, including multidimensional extensions, in language accessible to a large circle of users, (b) combines different versions of SSA into a single tool, (c) shows the diverse tasks that SSA can be used for, (d) formally describes the main SSA methods and algorithms, and (e) provides tutorials on the Rssa package and the use of SSA. The book offers a valuable resource for a very wide readership, including professional statisticians, specialists in signal and image processing, as well as specialists in numerous applied disciplines interested in using statistical methods for time series analysis, forecasting, signal and image processing. The book is written on a level accessible to a broad audience and includes a wealth of examples; hence it can also be used as a textbook for undergraduate and postgraduate courses on time series analysis and signal processing. 410 0$aUse R!,$x2197-5744 606 $aStatistics 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aComputer software 606 $aStatistics 606 $aMathematical statistics$xData processing 606 $aBiometry 606 $aStatistical Theory and Methods 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aMathematical Software 606 $aStatistics in Business, Management, Economics, Finance, Insurance 606 $aStatistics and Computing 606 $aBiostatistics 615 0$aStatistics. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aComputer software. 615 0$aStatistics. 615 0$aMathematical statistics$xData processing. 615 0$aBiometry. 615 14$aStatistical Theory and Methods. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aMathematical Software. 615 24$aStatistics in Business, Management, Economics, Finance, Insurance. 615 24$aStatistics and Computing. 615 24$aBiostatistics. 676 $a519.5 700 $aGolyandina$b Nina$4aut$4http://id.loc.gov/vocabulary/relators/aut$0145508 702 $aKorobeynikov$b Anton$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aZhigljavsky$b Anatoly$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910300115803321 996 $aSingular Spectrum Analysis with R$91933897 997 $aUNINA