Quantile Regression for Cross-Sectional and Time Series Data: Applications in Energy Markets Using R, Uribe Jorge M., Guillen Montserrat

Автор: Koenker
Название: Quantile Regression
ISBN: 0521845734 ISBN-13(EAN): 9780521845731
Издательство: Cambridge Academ
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Цена: 104550.00 T
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Описание: Quantiles provide a natural description of statistical variability in diverse populations; quantile regression offers a unified statistical methodology for studying how these measures of diversity depend upon other influences.

Автор: Davino Cristina
Название: Quantile Regression
ISBN: 111997528X ISBN-13(EAN): 9781119975281
Издательство: Wiley
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Цена: 77030.00 T
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Описание: A guide to the implementation and interpretation of Quantile Regression models This book explores the theory and numerous applications of quantile regression, offering empirical data analysis as well as the software tools to implement the methods.

Автор: Koenker, Roger
Название: Quantile regression
ISBN: 0521608279 ISBN-13(EAN): 9780521608275
Издательство: Cambridge Academ
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Цена: 40120.00 T
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Описание: Quantiles provide a natural description of statistical variability in diverse populations; quantile regression offers a unified statistical methodology for studying how these measures of diversity depend upon other influences.

Автор: Bernd Fitzenberger; Roger Koenker; Jose A.F. Macha
Название: Economic Applications of Quantile Regression
ISBN: 3790825026 ISBN-13(EAN): 9783790825022
Издательство: Springer
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Цена: 163040.00 T
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Описание: Complementing classical least squares regression methods which are designed to estimate conditional mean models, quantile regression provides an ensemble of techniques for estimating families of conditional quantile models, thus offering a more complete view of the stochastic relationship among variables.

Автор: Mikl?s Cs?rg?
Название: Quantile Processes with Statistical Applications
ISBN: 0898711851 ISBN-13(EAN): 9780898711851
Издательство: Mare Nostrum (Eurospan)
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Цена: 59350.00 T
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Описание: Provides a comprehensive theory of the approximations of quantile processes in light of recent advances, as well as some of their statistical applications.