Applied Econometrics with R
"This is the first book on applied econometrics using the R system for statistical computing and graphics. It presents hands-on examples for a wide range of econometric models, from classical linear regression models for cross-section, time series or panel data and the common non-linear models...
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| Glavni avtor: | |
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| Drugi avtorji: | |
| Format: | Knjiga |
| Jezik: | angleščina |
| Izdano: |
London
Springer
2008
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| Serija: | Use R! Series
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| Teme: | |
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MARC
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| 952 | |0 0 |1 0 |2 ddc |4 0 |6 330_015195000000000_KLE |7 0 |9 9406 |a 50008178 |b 50008178 |d 2019-08-21 |e The Book Syndicate Hyderabad |g 6455.19 |l 1 |m 2 |o 330.015195 KLE |p J4098 |r 2019-11-28 00:00:00 |s 2019-10-12 |w 2019-09-20 |y RB | ||
| 952 | |0 0 |1 0 |2 ddc |4 0 |6 330_015195000000000_KLE |7 0 |9 9826 |a 50008178 |b 50008178 |d 2019-12-10 |e The Book Syndicate Hyderabad |g 6599.18 |l 0 |o 330.015195 KLE |p J4268 |r 2019-12-17 00:00:00 |w 2019-12-17 |y RB | ||
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| 020 | |a 9780387773162 | ||
| 082 | |a 330.015195 |b KLE | ||
| 100 | |a Kleiber, Christian |9 4712 | ||
| 245 | |a Applied Econometrics with R | ||
| 260 | |a London |b Springer |c 2008 | ||
| 300 | |a x, 221 p. | ||
| 490 | |a Use R! Series | ||
| 520 | |a "This is the first book on applied econometrics using the R system for statistical computing and graphics. It presents hands-on examples for a wide range of econometric models, from classical linear regression models for cross-section, time series or panel data and the common non-linear models of microeconometrics such as logit, probit and tobit models, to recent semiparametric extensions. In addition, it provides a chapter on programming, including simulations, optimization, and an introduction to R tools enabling reproducible econometric research." "The goal of this book is to provide a guide to R for users with a background in economics or the social sciences. Readers are assumed to have a background in basic statistics and econometrics at the undergraduate level. A large number of examples should make the book of interest to graduate students, researchers and practitioners alike." | ||
| 650 | |a R - Computer Program Language |9 1158 | ||
| 650 | |a Statistics - Data Processing |9 4713 | ||
| 700 | |a Zeileis, Achim |9 4714 | ||