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Eld and are to bee sold by Francis Burton$d1611 215 $a[16], 589 [i.e. 549], [39] p 300 $aTranslation of author's Omnium gentium mores, leges et ritus. 300 $aMarginal notes. 300 $aSIgnatures: [par]? A-B? C-2N?. 300 $aNumerous errors in paging. 300 $aReproduction of original in the Harvard University. Library. 330 $aeebo-0062 606 $aGeography$vEarly works to 1800 606 $aManners and customs 615 0$aGeography 615 0$aManners and customs. 700 $aBoemus$b Joannes$fca. 1485-1535.$054576 701 $aGo?is$b Damia?o de$f1502-1574.$01004494 701 $aNicolaus$cof Damascus.$0203019 701 $aLe?ry$b Jean de, 1534-1611$0395960 701 $aScaliger$b Joseph Juste$f1540-1609.$0203176 701 $aAston$b Edward$fb. 1573 or 4.$01004839 801 1$bEBL 801 2$bWaOLN 906 $aBOOK 912 $a996387605403316 996 $aThe manners, lauues, and customes of all nations$92410028 997 $aUNISA LEADER 04156nam 22008175 450 001 9910760249503321 005 20240619173802.0 010 $a9783031402098 010 $a303140209X 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(OCoLC)1409416995 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. 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