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2005, ECONOMETRIC SOCIETY MONOGRAPHS; NO. 38., ISBN 0521608279, 367
Quantile regression is gradually emerging as a unified statistical methodology for estimating models of conditional quantile functions... 
Regression analysis
Book
2014, Wiley series in probability and statistics, ISBN 9781119975281, xvi, 260 pages
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... 
Quantile regression | Regression analysis
Book
2017, Chapman & Hall/CRC handbooks of modern statistical methods, ISBN 1498725287, 485
Quantile regression constitutes an ensemble of statistical techniques intended to estimate and draw inferences about conditional quantile functions... 
Quantile regression
eBook
eBook
08/2018, Wiley series in probability and statistics, ISBN 9781118863596, Volume 2, 283
Volume two of 'Quantile Regression' offers an important guide for applied researchers that draws on the same example-based approach adopted for the first... 
Quantile regression
eBook
Journal of economic literature, ISSN 0022-0515, 06/2010, Volume 48, Issue 2, pp. 281 - 355
Journal Article
2007, Quantitative applications in the social sciences, ISBN 9781412926287, Volume 149, ix, 126
Quantile Regression, the first book of Hao and Naiman's two-book series, establishes the seldom recognized link between inequality studies and quantile regression models... 
Social sciences | Statistical methods | Regression analysis
Book
Journal Article
The Annals of statistics, ISSN 0090-5364, 4/2012, Volume 40, Issue 2, pp. 1102 - 1131
.... However, quantile regression is not equipped with a parametric likelihood, and therefore, Bayesian inference for quantile regression demands careful investigation... 
Scientific method | Quantiles | Quantum efficiency | Inference | Regression analysis | Quantile regression | Parametric models | Modeling | Estimators | Estimation methods | Empirical likelihood | High quantiles | Efficiency | Prior | Posterior | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Studies | Algorithms | Bayesian analysis | Asymptotic methods | 62J05 | empirical likelihood | prior | posterior | 62G20 | 62F12 | high quantiles
Journal Article
2018, 1, ISBN 1498725287, Volume 1, 483
Quantile regression constitutes an ensemble of statistical techniques intended to estimate and draw inferences about conditional quantile functions... 
Statistical Theory & Methods | Statistics for Business | Finance & Economics
eBook
The Annals of statistics, ISSN 0090-5364, 06/2008, Volume 36, Issue 3, pp. 1108 - 1126
Journal Article
2020, SpringerBriefs in Finance, ISBN 3030445038, 67
This brief addresses the estimation of quantile regression models from a practical perspective, which will support researchers who need to use conditional quantile regression to measure economic... 
eBook
The Annals of statistics, ISSN 0090-5364, 4/2005, Volume 33, Issue 2, pp. 806 - 839
Journal Article
The Journal of economic perspectives, ISSN 0895-3309, 11/2001, Volume 15, Issue 4, pp. 143 - 156
Quantile regression, as introduced by Koenker and Bassett (1978), may be viewed as an extension of classical least squares estimation of conditional mean models... 
Labor economics | Statistical median | Economic models | Economic theory | Linear regression | Least squares | Birth weight | Infants | Chief executive officers | Symposium: Econometric Tools | Quantile regression | Methods | Regression analysis | Wages & salaries | Executive compensation | Econometrics
Journal Article
The Annals of statistics, ISSN 0090-5364, 12/2012, Volume 40, Issue 6, pp. 3108 - 3136
Journal Article