000 | 03360nam a22005175i 4500 | ||
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001 | vtls000562305 | ||
003 | RU-ToGU | ||
005 | 20210922090815.0 | ||
007 | cr nn 008mamaa | ||
008 | 170213s2015 ii | s |||| 0|eng d | ||
020 |
_a9788132223405 _9978-81-322-2340-5 |
||
024 | 7 |
_a10.1007/978-81-322-2340-5 _2doi |
|
035 | _ato000562305 | ||
040 |
_aSpringer _cSpringer _dRU-ToGU |
||
050 | 4 | _aHB139-141 | |
072 | 7 |
_aKCH _2bicssc |
|
072 | 7 |
_aBUS021000 _2bisacsh |
|
082 | 0 | 4 |
_a330.015195 _223 |
100 | 1 |
_aDayal, Vikram. _eauthor. _9455715 |
|
245 | 1 | 3 |
_aAn Introduction to R for Quantitative Economics _helectronic resource _bGraphing, Simulating and Computing / _cby Vikram Dayal. |
260 |
_aNew Delhi : _bSpringer India : _bImprint: Springer, _c2015. |
||
300 |
_aXV, 109 p. 79 illus., 9 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
490 | 1 |
_aSpringerBriefs in Economics, _x2191-5504 |
|
505 | 0 | _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. | |
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. | ||
650 | 0 |
_acomputers. _9460101 |
|
650 | 0 |
_aComputer simulation. _9304569 |
|
650 | 0 |
_aStatistics. _9124796 |
|
650 | 0 |
_aEconometrics. _9566276 |
|
650 | 1 | 4 |
_aEconomics. _9135154 |
650 | 2 | 4 |
_aEconometrics. _9566276 |
650 | 2 | 4 |
_aStatistics for Business/Economics/Mathematical Finance/Insurance. _9304058 |
650 | 2 | 4 |
_aSimulation and Modeling. _9304570 |
650 | 2 | 4 |
_aStatistics and Computing/Statistics Programs. _9303277 |
650 | 2 | 4 |
_aComputing Methodologies. _9303506 |
710 | 2 |
_aSpringerLink (Online service) _9143950 |
|
773 | 0 | _tSpringer eBooks | |
830 | 0 |
_aSpringerBriefs in Economics, _9445813 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-81-322-2340-5 |
912 | _aZDB-2-SBE | ||
999 | _c417131 |