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Racine, Jeffrey S.
Libros de: Racine, Jeffrey S.
Mostrando 4 libros encontrados. (1 páginas).
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Nonparametric Econometrics "Theory and Practice"
Li, Qi Racine, Jeffrey S.
Princeton University Press (2023)
- EAN: 9780691248080
- Páginas: 768
- Fecha de edición: 2023
pvp.116,95 €
Sin Stock. Posibilidad entre 11 y 20 dias
A comprehensive, up-to-date textbook on nonparametric methods for students and researchers
Until now, students and researchers in nonparametric and semiparametric statistics and econometrics have had to turn to the latest journal articles to keep ... -
An Introduction to the Advanced Theory and Practice of Nonparametric Econometrics "A Replicable Approach Using R"
Racine, Jeffrey S.
Cambridge University Press (2019)
- EAN: 9781108483407
- Páginas: 434
- Fecha de edición: 2019
pvp.51,95 €
Sin Stock. Posibilidad entre 11 y 20 dias
Interest in nonparametric methodology has grown considerably over the past few decades, stemming in part from vast improvements in computer hardware and the availability of new software that allows practitioners to take full advantage of ...
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Reproducible Econometrics Using R
Racine, Jeffrey S.
Oxford University Press (2019)
- EAN: 9780190900663
- Páginas: 324
- Fecha de edición: 2019
pvp.62,95 €
Sin Stock. Posibilidad entre 11 y 20 dias
Across the social sciences there has been increasing focus on reproducibility, i.e., the ability to examine a study's data and methods to ensure accuracy by reproducing the study. Reproducible Econometrics Using R combines an overview ...
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The Oxford Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics.
Racine, Jeffrey S. Su, Liangjun Ullah, Aman
Oxford University Press. (2014)
- EAN: 9780199857944
- Páginas: 539
- Fecha de edición: 2014
pvp.128,40 €
Sin Stock. Posibilidad entre 11 y 20 dias
This volume, edited by Jeffrey Racine, Liangjun Su, and Aman Ullah, contains the latest research on nonparametric and semiparametric econometrics and statistics. These data-driven models seek to replace the "classical" parametric models of the past, ...
