000726124 000__ 03144cam\a2200457Ii\4500
000726124 001__ 726124
000726124 005__ 20230306140714.0
000726124 006__ m\\\\\o\\d\\\\\\\\
000726124 007__ cr\cn\nnnunnun
000726124 008__ 150319s2015\\\\ii\a\\\\ob\\\\000\0\eng\d
000726124 020__ $$a9788132223405$$qelectronic book
000726124 020__ $$a8132223403$$qelectronic book
000726124 020__ $$z9788132223399
000726124 0247_ $$a10.1007/978-81-322-2340-5$$2doi
000726124 035__ $$aSP(OCoLC)ocn905224115
000726124 035__ $$aSP(OCoLC)905224115
000726124 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dGW5XE$$dN$T$$dBTCTA$$dUPM$$dCOO$$dYDXCP$$dOCLCF$$dOCLCO$$dEBLCP
000726124 049__ $$aISEA
000726124 050_4 $$aQA276.45.R3
000726124 08204 $$a005.13/3$$223
000726124 1001_ $$aDayal, Vikram,$$eauthor.
000726124 24513 $$aAn introduction to R for quantitative economics$$h[electronic resource] :$$bgraphing, simulating and computing /$$cVikram Dayal.
000726124 264_1 $$aNew Delhi :$$bSpringer,$$c2015.
000726124 300__ $$a1 online resource (xv, 109 pages) :$$billustrations.
000726124 336__ $$atext$$btxt$$2rdacontent
000726124 337__ $$acomputer$$bc$$2rdamedia
000726124 338__ $$aonline resource$$bcr$$2rdacarrier
000726124 4901_ $$aSpringerBriefs in economics,$$x2191-5504
000726124 504__ $$aIncludes bibliographical references.
000726124 5050_ $$aChapter 1. Introduction -- Chapter 2. R and RStudio -- Chapter 3. Getting data into R -- Chapter 4. Supply and demand -- Chapter 5. Functions -- Chapter 6. The Cobb-Douglas Function -- Chapter 7. Matrices -- Chapter 8. Statistical simulation -- Chapter 9. Anscombe's quartet: graphs can reveal -- Chapter 10. Carbon and forests: graphs and regression -- Chapter 11. Evaluating training -- Chapter 12. The Solow growth model -- Chapter 13. Simulating random walks and shing cycles -- Chapter 14. Basic time series.
000726124 506__ $$aAccess limited to authorized users.
000726124 520__ $$aThis book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free, extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up the R learning curve. It covers some mathematical topics such as, graphing the Cobb-Douglas function, using R to study the Solow growth model, in addition to statistical topics, from drawing statistical graphs to doing linear and logistic regression. It uses data that can be downloaded from the internet, and which is also available in different R packages. With some treatment of basic econometrics, the book discusses quantitative economics broadly and simply, looking at models in the light of data. Students of economics or economists keen to learn how to use R would find this book very useful.
000726124 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 25, 2015).
000726124 650_0 $$aR (Computer program language)
000726124 650_0 $$aEconomics$$xData processing.
000726124 77608 $$iPrint version:$$z9788132223399
000726124 830_0 $$aSpringerBriefs in economics.
000726124 852__ $$bebk
000726124 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-81-322-2340-5$$zOnline Access$$91397441.1
000726124 909CO $$ooai:library.usi.edu:726124$$pGLOBAL_SET
000726124 980__ $$aEBOOK
000726124 980__ $$aBIB
000726124 982__ $$aEbook
000726124 983__ $$aOnline
000726124 994__ $$a92$$bISE