Results 231 to 240 of about 97,330 (246)

Quantiles via moments

Journal of Econometrics, 2019
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Machado, José A. F., Santos Silva, J. M. C.   +1 more
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Envelope Quantile Regression

Statistica Sinica, 2020
Summary: The quantile regression method is a valuable complement to the classical mean regression, helping to ensure robust and comprehensive data analyses in a variety of applications. We propose a novel envelope quantile regression (EQR) method that adapts a nascent technique called enveloping to improve the efficiency of the standard quantile ...
Ding, Shanshan, Su, Zhihua, Zhu, Guangyu, Wang, Lan   +3 more
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Regression Quantiles

Econometrica, 1978
Koenker, Roger W, Bassett, Gilbert, Jr
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Estimating Quantile Sensitivities

Operations Research, 2009
Quantiles of a random performance serve as important alternatives to the usual expected value. They are used in the financial industry as measures of risk and in the service industry as measures of service quality. To manage the quantile of a performance, we need to know how changes in the input parameters affect the output quantiles, which are called
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Quantile to Quantile Plot

2011
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Quantile–Quantile Toolbox

The Journal of Applied Laboratory Medicine
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Quantile Regression

2008
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Quantile

2011
  +4 more sources

Quantiles and Quantile Functions

2007
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Quantile

2008
openaire   +2 more sources