國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

An introduction to R for quantitativ...

Dayal, Vikram.

An introduction to R for quantitative economicsgraphing, simulating and computing /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	An introduction to R for quantitative economicsby Vikram Dayal.
其他題名:	graphing, simulating and computing /
作者:	Dayal, Vikram.
出版者:	New Delhi :Springer India :2015.
面頁冊數:	xv, 109 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	R (Computer program language)
電子資源:	http://dx.doi.org/10.1007/978-81-322-2340-5
ISBN:	9788132223405 (electronic bk.)

An introduction to R for quantitative economicsgraphing, simulating and computing /
Dayal, Vikram.

An introduction to R for quantitative economicsgraphing, simulating and computing /[electronic resource] :by Vikram Dayal. - New Delhi :Springer India :2015. - xv, 109 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in economics,2191-5504. - SpringerBriefs in economics..

Chapter 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.

This 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.

ISBN: 9788132223405 (electronic bk.)

Standard No.: 10.1007/978-81-322-2340-5doiSubjects--Topical Terms:

210846
R (Computer program language)

LC Class. No.: QA276.45.R3

Dewey Class. No.: 005.133

An introduction to R for quantitative economicsgraphing, simulating and computing /
LDR:02486nmm a2200325 a 4500 001 462481
003 DE-He213
005 20151016114006.0
006 m d
007 cr nn 008maaau
008 151119s2015 ii s 0 eng d
020 $a 9788132223405 (electronic bk.)
020 $a 9788132223399 (paper)
024 7 $a 10.1007/978-81-322-2340-5 $2 doi
035 $a 978-81-322-2340-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA276.45.R3
072 7 $a KCH $2 bicssc
072 7 $a BUS021000 $2 bisacsh
082 0 4 $a 005.133 $2 23
090 $a QA276.45.R3 $b D275 2015
100 1 $a Dayal, Vikram. $3 676831
245 1 3 $a An introduction to R for quantitative economics $h [electronic resource] : $b graphing, simulating and computing / $c by Vikram Dayal.
260 $a New Delhi : $b Springer India : $b Imprint: Springer, $c 2015.
300 $a xv, 109 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in economics, $x 2191-5504
505 0 $a Chapter 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 $a This 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 $a R (Computer program language) $3 210846
650 0 $a Economics $x Data processing. $3 208545
650 1 4 $a Economics/Management Science. $3 273684
650 2 4 $a Econometrics. $3 182271
650 2 4 $a Statistics for Business/Economics/Mathematical Finance/Insurance. $3 274062
650 2 4 $a Simulation and Modeling. $3 273719
650 2 4 $a Statistics and Computing/Statistics Programs. $3 275710
650 2 4 $a Computing Methodologies. $3 274528
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in economics. $3 559512
856 4 0 $u http://dx.doi.org/10.1007/978-81-322-2340-5
950 $a Business and Economics (Springer-11643)