Description

Book Synopsis
R is a language and environment for data analysis and graphics. (2) R is free software that can be downloaded and installed at no cost from a family of mirror sites around the globe, the Comprehensive R Archive Network (CRAN);

Trade Review

Researchers in quantitative social sciences in general, and econometrics in particular, have often favored scripting languages such as GAUSS or Stat, or packages such as EViews. Introducing R to this particular audience could therefore be a well-appreciated title among the growing number of publications about R…. So, is this a good introduction of R for econometricians? Absolutely— with a well-rounded selection of available methodologies, both classic and current, and a good focus on introducing graphical methods, as well as gently covering more novel and therefore less familiar approaches, it fulfills its task with aplomb. The writing style is conversational without being shallow. (Dirk Eddelbuettel, Journal of Statistical Software, February 2009, Vol. 29, Book Review 14)



Table of Contents
Introduction. - Basics. - Linear Regression. - Diagnostics and alternative methods of regression. - Models of microeconometrics. - Time series. - Programming your own analysis. - References. - Index.

Applied Econometrics with R

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    £71.24

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    A Paperback / softback by Christian Kleiber, Achim Zeileis

    15 in stock

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      Publisher: Springer-Verlag New York Inc.
      Publication Date: 28/08/2008
      ISBN13: 9780387773162, 978-0387773162
      ISBN10: 0387773169

      Description

      Book Synopsis
      R is a language and environment for data analysis and graphics. (2) R is free software that can be downloaded and installed at no cost from a family of mirror sites around the globe, the Comprehensive R Archive Network (CRAN);

      Trade Review

      Researchers in quantitative social sciences in general, and econometrics in particular, have often favored scripting languages such as GAUSS or Stat, or packages such as EViews. Introducing R to this particular audience could therefore be a well-appreciated title among the growing number of publications about R…. So, is this a good introduction of R for econometricians? Absolutely— with a well-rounded selection of available methodologies, both classic and current, and a good focus on introducing graphical methods, as well as gently covering more novel and therefore less familiar approaches, it fulfills its task with aplomb. The writing style is conversational without being shallow. (Dirk Eddelbuettel, Journal of Statistical Software, February 2009, Vol. 29, Book Review 14)



      Table of Contents
      Introduction. - Basics. - Linear Regression. - Diagnostics and alternative methods of regression. - Models of microeconometrics. - Time series. - Programming your own analysis. - References. - Index.

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