Speaking Stata: Graphing distributions [PDF]
Graphing univariate distributions is central to both statistical graphics, in general, and StataÕs graphics, in particular. Now that Stata 8 is out, a review of official and user-written commands is timely.
Nicholas J. Cox
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Smoothed Weighted Quantile Regression for Censored Data in Survival Analysis
AxiomsIn this study, we propose a smoothed weighted quantile regression (SWQR), which combines convolution smoothing with a weighted framework to address the limitations.
Kaida Cai +3 more
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Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure [PDF]
Quantile regression(QR) fits a linear model for conditional quantiles, just as ordinary least squares (OLS) fits a linear model for conditional means. An attractive feature of OLS is that it gives the minimum mean square error linear approximation to the
Ivan Fernandez-Val +2 more
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Quantile function modeling with application to salinity tolerance analysis of plant data. [PDF]
BMC Plant Biol, 2019 Agarwal G +4 more
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Quantile Regression Estimates of Confidence Intervals for WASDE Price Forecasts [PDF]
This study uses quantile regressions to estimate historical forecast error distributions for WASDE forecasts of corn, soybean, and wheat prices, and then compute confidence limits for the forecasts based on the empirical distributions.
Good, Darrel L. +2 more
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Multilevel quantile function modeling with application to birth outcomes. [PDF]
Biometrics, 2015 Smith LB +4 more
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Semiparametric Bayesian estimation of quantile function for breast cancer survival data with cured fraction. [PDF]
Biom J, 2016 Gupta C, Cobre J, Polpo A, Sinha D.
europepmc +1 more source
A scalar-on-quantile-function approach for estimating short-term health effects of environmental exposures. [PDF]
BiometricsZhang Y, Chang HH, Warren JL, Ebelt ST.
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High quantile function estimation
, 2003 L'objectif de ce travail est l'estimation d'une fonction quantile extrême. Nous considérons n couples de variables aléatoires indépendants et de même loi qu'un couple (X,Y) à support borné du plan. Notre but est d'estimer le quantile extrême (i.e. d'ordre inférieur à 1/n) de la fonction de répartition conditionnelle de Y sachant que X=x. La fonction de
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An Investigation of Quantile Function Estimators Relative to Quantile Confidence Interval Coverage. [PDF]
Commun Stat Theory Methods, 2015 Wei L, Wang D, Hutson AD.
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