LEADER 04498nam 22007815 450 001 9910349317503321 005 20251230065850.0 010 $a3-030-26036-4 024 7 $a10.1007/978-3-030-26036-1 035 $a(CKB)4100000009606286 035 $a(MiAaPQ)EBC5963207 035 $a(DE-He213)978-3-030-26036-1 035 $a(PPN)242824196 035 $a(MiAaPQ)EBC5963089 035 $a(EXLCZ)994100000009606286 100 $a20191018d2019 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 $eSelected Contributions from ITISE 2018 /$fedited by Olga Valenzuela, Fernando Rojas, Héctor Pomares, Ignacio Rojas 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (xv, 380 pages) 225 1 $aContributions to Statistics,$x2628-8966 300 $aIncludes index. 311 08$a3-030-26035-6 327 $aPreface -- Advanced Statistical Methods for Time Series Analysis and Forecasting -- Advanced Computational Intelligence Methods for Time Series Analysis and Forecasting -- Econometric Models, Financial Forecasting and Risk Analysis -- Time Series Analysis in Earth Sciences -- Energy Time Series Forecasting -- Time Series Analysis and Prediction in Other Real Problems. 330 $aThis book presents selected peer-reviewed contributions from the International Conference on Time Series and Forecasting, ITISE 2018, held in Granada, Spain, on September 19-21, 2018. The first three parts of the book focus on the theory of time series analysis and forecasting, and discuss statistical methods, modern computational intelligence methodologies, econometric models, financial forecasting, and risk analysis. In turn, the last three parts are dedicated to applied topics and include papers on time series analysis in the earth sciences, energy time series forecasting, and time series analysis and prediction in other real-world problems. The book offers readers valuable insights into the different aspects of time series analysis and forecasting, allowing them to benefit both from its sophisticated and powerful theory, and from its practical applications, which address real-world problems in a range of disciplines. The ITISE conference series provides a valuable forum for scientists, engineers, educators and students to discuss the latest advances and implementations in the field of time series analysis and forecasting. It focuses on interdisciplinary and multidisciplinary research encompassing computer science, mathematics, statistics and econometrics. 410 0$aContributions to Statistics,$x2628-8966 606 $aStatistics 606 $aComputer science$xMathematics 606 $aMathematical statistics 606 $aEconometrics 606 $aArtificial intelligence 606 $aProbabilities 606 $aStatistics in Business, Management, Economics, Finance, Insurance 606 $aProbability and Statistics in Computer Science 606 $aEconometrics 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 606 $aArtificial Intelligence 606 $aProbability Theory 615 0$aStatistics. 615 0$aComputer science$xMathematics. 615 0$aMathematical statistics. 615 0$aEconometrics. 615 0$aArtificial intelligence. 615 0$aProbabilities. 615 14$aStatistics in Business, Management, Economics, Finance, Insurance. 615 24$aProbability and Statistics in Computer Science. 615 24$aEconometrics. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 24$aArtificial Intelligence. 615 24$aProbability Theory. 676 $a519.55 676 $a519.55 702 $aValenzuela$b Olga$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRojas$b Fernando$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPomares$b Héctor$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRojas$b Ignacio$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349317503321 996 $aTheory and Applications of Time Series Analysis$91733796 997 $aUNINA