LEADER 04095nam 22007935 450 001 9910760249503321 005 20240619173802.0 010 $a3-031-40209-X 024 7 $a10.1007/978-3-031-40209-8 035 $a(MiAaPQ)EBC30878244 035 $a(Au-PeEL)EBL30878244 035 $a(DE-He213)978-3-031-40209-8 035 $a(CKB)28806317800041 035 $a(EXLCZ)9928806317800041 100 $a20231109d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aTheory and Applications of Time Series Analysis $eSelected Contributions from ITISE 2022 /$fedited by Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (236 pages) 225 1 $aContributions to Statistics,$x2628-8966 311 08$aPrint version: Valenzuela, Olga Theory and Applications of Time Series Analysis Cham : Springer,c2023 9783031402081 327 $aTheoretical Aspects of Time Series -- Econometrics -- Time Series Analysis Applications -- Time Series Forecasting -- Time Series Forecasting. 330 $aThis book presents the latest developments in the theory and applications of time series analysis and forecasting. Comprising a selection of refereed papers, it is divided into several parts that address modern theoretical aspects of time series analysis, forecasting and prediction, with applications to various disciplines, including econometrics and energy research. The broad range of topics discussed, including matters of particular relevance for sustainable development, will give readers a modern perspective on the subject. The included contributions were originally presented at the 8th International Conference on Time Series and Forecasting, ITISE 2022, held in Gran Canaria, Spain, June 27-30, 2022. The ITISE conference series provides a forum for scientists, engineers, educators and students to discuss the latest advances and implementations in the foundations, theory, models and applications of time series analysis and forecasting. It focuses on interdisciplinary research encompassing computer science, mathematics, statistics and econometrics. . 410 0$aContributions to Statistics,$x2628-8966 606 $aTime-series analysis 606 $aEconometrics 606 $aStatistics 606 $aComputer science$xMathematics 606 $aMathematical statistics 606 $aTime Series Analysis 606 $aEconometrics 606 $aStatistics in Business, Management, Economics, Finance, Insurance 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 606 $aApplied Statistics 606 $aProbability and Statistics in Computer Science 606 $aEconometria$2thub 606 $aEstadística matemàtica$2thub 608 $aLlibres electrònics$2thub 615 0$aTime-series analysis. 615 0$aEconometrics. 615 0$aStatistics. 615 0$aComputer science$xMathematics. 615 0$aMathematical statistics. 615 14$aTime Series Analysis. 615 24$aEconometrics. 615 24$aStatistics in Business, Management, Economics, Finance, Insurance. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 24$aApplied Statistics. 615 24$aProbability and Statistics in Computer Science. 615 7$aEconometria 615 7$aEstadística matemàtica 676 $a519.55 700 $aValenzuela$b Olga$01351104 701 $aRojas$b Fernando$01437335 701 $aHerrera$b Luis Javier$01351106 701 $aPomares$b Héctor$01437336 701 $aRojas$b Ignacio$01299449 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910760249503321 996 $aTheory and Applications of Time Series Analysis$93598008 997 $aUNINA