LEADER 01007oam 2200193z- 450 001 996394510503316 005 20220224001810.0 035 $a(UnM)99840193 035 $a(CKB)4940000000585346 035 $a(EXLCZ)994940000000585346 100 $a20211117c1618uuuu -u- - 101 0 $aeng 200 13$aAn astronomicall description of the late comet from the 18. of Nouemb. 1618. to the 16. of December following. With certaine morall progosticks or applications drawne from the comets motion and irradiation amongst the celestiall hierglyphicks. By vigilan 210 $cPrinted by Edward Griffin for Henry Fetherstone$aEngland 700 $aBainbridge$b John$01003506 906 $aBOOK 912 $a996394510503316 996 $aAn astronomicall description of the late comet from the 18. of Nouemb. 1618. to the 16. of December following. With certaine morall progosticks or applications drawne from the comets motion and irradiation amongst the celestiall hierglyphicks. By vigilan$92304010 997 $aUNISA LEADER 04127nam 22007695 450 001 9910438069303321 005 20200919072553.0 010 $a3-642-33436-9 024 7 $a10.1007/978-3-642-33436-8 035 $a(CKB)2670000000317381 035 $a(EBL)1082686 035 $a(OCoLC)813960169 035 $a(SSID)ssj0000799717 035 $a(PQKBManifestationID)11452527 035 $a(PQKBTitleCode)TC0000799717 035 $a(PQKBWorkID)10764010 035 $a(PQKB)11626927 035 $a(DE-He213)978-3-642-33436-8 035 $a(MiAaPQ)EBC1082686 035 $a(MiAaPQ)EBC6315639 035 $a(PPN)168324482 035 $a(EXLCZ)992670000000317381 100 $a20121009d2013 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aIntroduction to Modern Time Series Analysis /$fby Gebhard Kirchgässner, Jürgen Wolters, Uwe Hassler 205 $a2nd ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (325 p.) 225 1 $aSpringer Texts in Business and Economics,$x2192-4333 300 $aDescription based upon print version of record. 311 $a3-642-44029-0 311 $a3-642-33435-0 320 $aIncludes bibliographical references and index. 327 $aIntroduction and Basics -- Univariate Stationary Processes -- Granger Causality -- Vector Autoregressive Processes -- Nonstationary Processes -- Cointegration -- Nonstationary Panel Data -- Autoregressive Conditional Heteroscedasticity. 330 $aThis book presents modern developments in time series econometrics that are applied to macroeconomic and financial time series, bridging the gap between methods and realistic applications. It presents the most important approaches to the analysis of time series, which may be stationary or nonstationary. Modelling and forecasting univariate time series is the starting point. For multiple stationary time series, Granger causality tests and vector autogressive models are presented. As the modelling of nonstationary uni- or multivariate time series is most important for real applied work, unit root and cointegration analysis as well as vector error correction models are a central topic. Tools for analysing nonstationary data are then transferred to the panel framework. Modelling the (multivariate) volatility of financial time series with autogressive conditional heteroskedastic models is also treated.  . 410 0$aSpringer Texts in Business and Economics,$x2192-4333 606 $aEconometrics 606 $aStatistics  606 $aGame theory 606 $aMacroeconomics 606 $aEconometrics$3https://scigraph.springernature.com/ontologies/product-market-codes/W29010 606 $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010 606 $aGame Theory, Economics, Social and Behav. Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/M13011 606 $aMacroeconomics/Monetary Economics//Financial Economics$3https://scigraph.springernature.com/ontologies/product-market-codes/W32000 615 0$aEconometrics. 615 0$aStatistics . 615 0$aGame theory. 615 0$aMacroeconomics. 615 14$aEconometrics. 615 24$aStatistics for Business, Management, Economics, Finance, Insurance. 615 24$aGame Theory, Economics, Social and Behav. Sciences. 615 24$aMacroeconomics/Monetary Economics//Financial Economics. 676 $a519.55 700 $aKirchgässner$b Gebhard$4aut$4http://id.loc.gov/vocabulary/relators/aut$0482085 702 $aWolters$b Jürgen$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aHassler$b Uwe$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438069303321 996 $aIntroduction to Modern Time Series Analysis$92538458 997 $aUNINA