Results 331 to 340 of about 363,287 (369)

Quantile-Quantile plots under random censorship

Journal of Statistical Planning and Inference, 1986
We obtain strong approximation results for the product-limit quantile- quantile process. In addition, product-limit confidence bands for the theoretical Q-Q plot are constructed.
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Estimating densities, quantiles, quantile densities and density quantiles

Annals of the Institute of Statistical Mathematics, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Expectiles and M-quantiles are quantiles

Statistics & Probability Letters, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Self-Calibrating Quantile–Quantile Plots

The American Statistician, 2016
Quantile–quantile plots, or qqplots, are an important visual tool for many applications but their interpretation requires some care and often more experience. This apparent subjectivity is unnecessary. By drawing on the computational and display facilities now widely available, qqplots are easily enriched to help with their interpretation.
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Quantile regression with nonadditive fixed effects

Empirical Economics, 2022
David Powell
semanticscholar   +1 more source

A Quantile–Quantile Toolbox for Reference Intervals

The Journal of Applied Laboratory Medicine
AbstractBackgroundParametric statistical methods are generally better than nonparametric, but require that data follow a known, usually normal, distribution. One important application is finding reference limits and detection limits. Parametric analyses yield better estimates and measures of their uncertainty than nonparametric approaches, which rely ...
Douglas M Hawkins, Rianne N Esquivel
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Quantiles via moments

Journal of Econometrics, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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Green investment, financial development, digitalization and economic sustainability in Vietnam: Evidence from a quantile-on-quantile regression and wavelet coherence

Technological forecasting & social change, 2023
N. Hung
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Asymmetric inter-linkages between green technology innovation and consumption-based carbon emissions in BRICS countries using quantile-on-quantile framework

Technology and Society, 2021
Asif Razzaq, Yufeng Wang, S. Chupradit, Wanich Suksatan, Farrukh Shahzad   +4 more
semanticscholar   +1 more source