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Ruppert, David
Libros de: Ruppert, David
Mostrando 5 libros encontrados. (1 páginas).
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Semiparametric Regression with R
Harezlak, Jaroslaw Ruppert, David Wand, Matt
Springer Verlag (2018)
- EAN: 9781493988518
- Páginas: 331
- Fecha de edición: 2018
pvp.106,00 €
Disponible entre 11 y 20 dias
This easy-to-follow applied book on semiparametric regression methods using R is intended to close the gap between the available methodology and its use in practice. Semiparametric regression has a large literature but much of it ...
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Statistics and Data Analysis for Financial Engineering "With R Examples"
Ruppert, David
Springer Verlag (2015)
- EAN: 9781493926138
- Páginas: 719
- Fecha de edición: 2015
pvp.89,95 €
Disponible entre 11 y 20 dias
The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs ...
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Measurement Error In Nonlinear Models
Ruppert, David
Chapman & Hall Co. (2006)
- EAN: 9781584886334
- Páginas: 488
- Fecha de edición: 2006
pvp.90,95 €
Disponible entre 11 y 20 dias
It's been over a decade since the first edition of "Measurement Error in Nonlinear Models" splashed onto the scene, and research in the field has certainly not cooled in the interim. In fact, quite the ...
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Statistics And Finance: An Introduction.
Ruppert, David
Springer Verlag (2004)
- EAN: 9780387202709
- Páginas: 473
- Fecha de edición: 2004
pvp.87,30 €
Disponible entre 11 y 20 dias
This textbook emphasizes the applications of statistics and probability to finance. Students are assumed to have had a prior course in statistics, but no background in finance or economics. The basics of probability and statistics ...
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Semiparametric Regression.
Carroll, Raymond J. Ruppert, David Wand, Matt
Cambridge University Press (2003)
- EAN: 9780521785167
- Páginas: 386
- Fecha de edición: 2003
pvp.48,90 €
Disponible entre 11 y 20 dias
Semiparametric regression is concerned with the flexible incorporation of non-linear functional relationships in regression analyses. Any application area that benefits from regression analysis can also benefit from semiparametric regression. Assuming only a basic familiarity with ...
