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Coll.$d425674 959 $aBK 969 $aGIU 996 $aO?ffentlichkeit und Neue Medien im gerichtlichen Verfahren$91540047 997 $aUNISA LEADER 04391nam 22006131c 450 001 9910464385403321 005 20200115203623.0 010 $a1-4725-3959-1 010 $a1-4725-1963-9 024 7 $a10.5040/9781472539595 035 $a(CKB)3710000000055143 035 $a(EBL)1538985 035 $a(SSID)ssj0001152222 035 $a(PQKBManifestationID)11775742 035 $a(PQKBTitleCode)TC0001152222 035 $a(PQKBWorkID)11146078 035 $a(PQKB)10017500 035 $a(MiAaPQ)EBC1538985 035 $a(Au-PeEL)EBL1538985 035 $a(CaPaEBR)ebr10794469 035 $a(CaONFJC)MIL603512 035 $a(OCoLC)862612811 035 $a(OCoLC)868975776 035 $a(UtOrBLW)bpp09255196 035 $a(EXLCZ)993710000000055143 100 $a20140929d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAeschylus $iEumenides $fRobin Mitchell-Boyask 210 1$aLondon $cBloomsbury $d2009. 215 $a1 online resource (158 p.) 225 1 $aBloomsbury companions to Greek and Roman tragedy 300 $aDescription based upon print version of record. 311 $a0-7156-3642-1 320 $aIncludes bibliographical references and index 327 $aAeschylus the Athenian -- Eumenides and Greek myth and religion -- The theatre of Aeschylus -- The play and its staging -- Justice, law, and Athenian politics in Eumenides -- The reception of Eumenides : ancient tragedy, gender, and the modern world. 330 $a"The 'Eumenides', the concluding drama in Aeschylus' sole surviving trilogy, the "Oresteia", is not only one of the most admired Greek tragedies, but also one of the most controversial and contested, both to specialist scholars and public intellectuals. It stands at the crux of the controversies over the relationship between the fledgling democracy of Athens and the dramas it produced during the City Dionysia, and over the representation of women in the theatre and their implied status in Athenian society. The "Eumenides" enacts the trial of Agamemnon's son Orestes, who had been ordered under the threat of punishment by the god Apollo to murder his mother Clytemnestra, who had earlier killed Agamemnon. In the Eumenides, Orestes, hounded by the Eumenides (Furies), travels first to Delphi to obtain ritual purgation of his mother's blood, and then, at Apollo's urging, to Athens to seek the help of Athena, who then decides herself that an impartial jury of Athenians should decide the matter. Aeschylus thus presents a drama that shows a growing awareness of the importance of free will in Athenian thought through the mythologized institution of the first jury trial."--Bloomsbury Publishing 330 8 $aThe "Eumenides", the concluding drama in Aeschylus' sole surviving trilogy, the "Oresteia", is not only one of the most admired Greek tragedies, but also one of the most controversial and contested, both to specialist scholars and public intellectuals. It stands at the crux of the controversies over the relationship between the fledgling democracy of Athens and the dramas it produced during the City Dionysia, and over the representation of women in the theatre and their implied status in Athenian society. The "Eumenides" enacts the trial of Agamemnon's son Orestes, who had been ordered under the threat of punishment by the god Apollo to murder his mother Clytemnestra, who had earlier killed Agamemnon.In the "Eumenides", Orestes, hounded by the Eumenides (Furies), travels first to Delphi to obtain ritual purgation of his mother's blood, and then, at Apollo's urging, to Athens to seek the help of Athena, who then decides herself that an impartial jury of Athenians should decide the matter. Aeschylus thus presents a drama that shows a growing awareness of the importance of free will in Athenian thought through the mythologized institution of the first jury trial 410 0$aCompanions to Greek and Roman tragedy. 606 $aGreek drama (Tragedy) 606 $2Literary studies: classical, early & medieval 615 0$aGreek drama (Tragedy) 676 $a880 700 $aMitchell-Boyask$b Robin$f1961-$0878700 801 0$bUtOrBLW 801 1$bUtOrBLW 801 2$bUkLoBP 906 $aBOOK 912 $a9910464385403321 996 $aAeschylus$91961793 997 $aUNINA LEADER 01223nam a22002651i 4500 001 991003119699707536 005 20030903183951.0 008 030925s2002 gw |||||||||||||||||ger 035 $ab12382450-39ule_inst 035 $aARCHE-042998$9ExL 040 $aBiblioteca Interfacoltà$bita$cA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l. 082 04$a224.506 100 1 $aRoloff, Jürgen$0454920 245 14$aDie adaption der tiervision (Daniel 7) in frühjüdischer und frühchristlicher apokalyptik /$cJürgen Roloff 260 $aMünchen :$bVerlag der bayerischen akademie der wissenschaften,$c2002 300 $a53 p. ;$c22 cm 440 0$aSitzungsberichte / Bayerische akademie der wissenschaften.$pPhilosophisch-historische klasse ;$vJahrg. 2002/2 650 4$aBibbia V.T.$xDaniele (7) 650 4$aLetteratura apocalittica 907 $a.b12382450$b02-04-14$c08-10-03 912 $a991003119699707536 945 $aLE002 Ann. 564/002 (2002)$g1$i2002000129697$lle002$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i12788752$z08-10-03 996 $aAdaption der tiervision (Daniel 7) in frühjüdischer und frühchristlicher apokalyptik$9169099 997 $aUNISALENTO 998 $ale002$b08-10-03$cm$da $e-$fger$ggw $h4$i1 LEADER 04815nam 22006615 450 001 9910484512003321 005 20251116225307.0 010 $a981-15-2035-6 024 7 $a10.1007/978-981-15-2035-8 035 $a(CKB)4100000010480211 035 $a(DE-He213)978-981-15-2035-8 035 $a(MiAaPQ)EBC6112508 035 $a(PPN)242977839 035 $a(EXLCZ)994100000010480211 100 $a20200203d2020 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aQuantitative Economics with R $eA Data Science Approach /$fby Vikram Dayal 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (XV, 326 p. 300 illus., 89 illus. in color.) 311 08$a981-15-2034-8 327 $aCh 1 Introduction -- Ch 2 R and RStudio -- Ch 3 Getting data into R -- Ch 4 Wrangling and graphing data -- Ch 5 Functions -- Ch 6 Matrices -- Ch 7 Probability and statistical inference -- Ch 8 Causal inference -- Ch 9 Solow model and basic facts of growth -- Ch 10 Causal inference for growth -- Ch 11 Graphing and simulating basic time series -- Ch 12 Simple examples: forecasting and causal inference -- Ch 13 Generalized additive models -- Ch 14 Tree models. 330 $aThis book provides a contemporary treatment of quantitative economics, with a focus on data science. The book introduces the reader to R and RStudio, and uses expert Hadley Wickham?s tidyverse package for different parts of the data analysis workflow. After a gentle introduction to R code, the reader?s R skills are gradually honed, with the help of ?your turn? exercises. At the heart of data science is data, and the book equips the reader to import and wrangle data, (including network data). Very early on, the reader will begin using the popular ggplot2 package for visualizing data, even making basic maps. The use of R in understanding functions, simulating difference equations, and carrying out matrix operations is also covered. The book uses Monte Carlo simulation to understand probability and statistical inference, and the bootstrapis introduced. Causal inference is illuminated using simulation, data graphs, and R code for applications with real economic examples, covering experiments, matching, regression discontinuity, difference-in-difference, and instrumental variables. The interplay of growth related data and models is presented, before the book introduces the reader to time series data analysis with graphs, simulation, and examples. Lastly, two computationally intensive methods?generalized additive models and random forests (an important and versatile machine learning method)?are introduced intuitively with applications. The book will be of great interest to economists?students, teachers, and researchers alike?who want to learn R. It will help economics students gain an intuitive appreciation of appliedeconomics and enjoy engaging with the material actively, while also equipping them with key data science skills. 606 $aGame theory 606 $aEconomics 606 $aStatistics 606 $aComputer simulation 606 $aSociology?Research 606 $aR (Computer program language) 606 $aGame Theory, Economics, Social and Behav. Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/M13011 606 $aEconomic Theory/Quantitative Economics/Mathematical Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/W29000 606 $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aResearch Methodology$3https://scigraph.springernature.com/ontologies/product-market-codes/X22190 615 0$aGame theory. 615 0$aEconomics. 615 0$aStatistics. 615 0$aComputer simulation. 615 0$aSociology?Research. 615 0$aR (Computer program language) 615 14$aGame Theory, Economics, Social and Behav. Sciences. 615 24$aEconomic Theory/Quantitative Economics/Mathematical Methods. 615 24$aStatistics for Business, Management, Economics, Finance, Insurance. 615 24$aSimulation and Modeling. 615 24$aResearch Methodology. 676 $a330.028563 700 $aDayal$b Vikram$4aut$4http://id.loc.gov/vocabulary/relators/aut$0872311 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484512003321 996 $aQuantitative Economics with R$91947554 997 $aUNINA