LEADER 00794nam0-2200289---450- 001 990009738190403321 005 20130610102815.0 035 $a000973819 035 $aFED01000973819 035 $a(Aleph)000973819FED01 035 $a000973819 100 $a20130610d1989----km-y0itay50------ba 101 0 $aeng 105 $ay-------001yy 200 1 $aDante & Ovid$fJ. H. Whitfield 210 $a[S.l.$cs.n.]$d1989 215 $a18 p.$d24 cm 610 0 $aDante, Alighieri$aCritica e interpretazione 610 0 $aOvidio$aCritica e interpretazione 700 1$aWhitfield,$bJohn Humphreys$0191593 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990009738190403321 952 $a30.1604$bs.i.$fDARST 959 $aDARST 996 $aDante & Ovid$9842409 997 $aUNINA LEADER 04380nam 22007695 450 001 9910298478403321 005 20250609111427.0 010 $a81-322-2340-3 024 7 $a10.1007/978-81-322-2340-5 035 $a(CKB)3710000000378113 035 $a(EBL)2095354 035 $a(SSID)ssj0001465566 035 $a(PQKBManifestationID)11817460 035 $a(PQKBTitleCode)TC0001465566 035 $a(PQKBWorkID)11490490 035 $a(PQKB)11427933 035 $a(DE-He213)978-81-322-2340-5 035 $a(MiAaPQ)EBC2095354 035 $a(PPN)184890330 035 $a(MiAaPQ)EBC3108611 035 $a(EXLCZ)993710000000378113 100 $a20150317d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 13$aAn Introduction to R for Quantitative Economics $eGraphing, Simulating and Computing /$fby Vikram Dayal 205 $a1st ed. 2015. 210 1$aNew Delhi :$cSpringer India :$cImprint: Springer,$d2015. 215 $a1 online resource (117 p.) 225 1 $aSpringerBriefs in Economics,$x2191-5504 300 $aDescription based upon print version of record. 311 08$a81-322-2339-X 320 $aIncludes bibliographical references at the end of each chapters. 327 $aChapter 1. Introduction -- Chapter 2. R and RStudio -- Chapter 3. Getting data into R -- Chapter 4. Supply and demand -- Chapter 5. Functions -- Chapter 6. The Cobb-Douglas Function -- Chapter 7. Matrices -- Chapter 8. Statistical simulation -- Chapter 9. Anscombe's quartet: graphs can reveal -- Chapter 10. Carbon and forests: graphs and regression -- Chapter 11. Evaluating training -- Chapter 12. The Solow growth model -- Chapter 13. Simulating random walks and shing cycles -- Chapter 14. Basic time series. 330 $aThis book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free, extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up the R learning curve. It covers some mathematical topics such as, graphing the Cobb-Douglas function, using R to study the Solow growth model, in addition to statistical topics, from drawing statistical graphs to doing linear and logistic regression. It uses data that can be downloaded from the internet, and which is also available in different R packages. With some treatment of basic econometrics, the book discusses quantitative economics broadly and simply, looking at models in the light of data. Students of economics or economists keen to learn how to use R would find this book very useful. 410 0$aSpringerBriefs in Economics,$x2191-5504 606 $aEconometrics 606 $aStatistics 606 $aComputer simulation 606 $aArtificial intelligence 606 $aR (Computer program language) 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 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aEconometrics. 615 0$aStatistics. 615 0$aComputer simulation. 615 0$aArtificial intelligence. 615 0$aR (Computer program language) 615 14$aEconometrics. 615 24$aStatistics for Business, Management, Economics, Finance, Insurance. 615 24$aSimulation and Modeling. 615 24$aStatistics and Computing/Statistics Programs. 615 24$aArtificial Intelligence. 676 $a519.502855133 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 $a9910298478403321 996 $aAn Introduction to R for Quantitative Economics$92495551 997 $aUNINA