Results 311 to 320 of about 3,477,506 (374)
Median waiting time for outpatient clinics (Multivariable quantile regression model, n=223,179).
Jacob Dreiher (14856863) +3 more
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Socio-demographic characteristics associated with SF-6D v2 utility scores in patients undergoing dialysis in China: contributions of the quantile regression. [PDF]
Health Qual Life OutcomesZhang Y, Yang L, Chen Z.
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Renewable Energy, 2021
A vast body of studies estimates the impact of energy consumption on the environment. A typical empirical study either use aggregate energy consumption or apply conventional econometric techniques in modelling the nexus of energy, income and environment.
Ahsan Anwar +3 more
semanticscholar +3 more sources
A vast body of studies estimates the impact of energy consumption on the environment. A typical empirical study either use aggregate energy consumption or apply conventional econometric techniques in modelling the nexus of energy, income and environment.
Ahsan Anwar +3 more
semanticscholar +3 more sources
Wiley Series in Probability and Statistics, 2018
Volume two of Quantile Regression offers an important guide for applied researchers that draws on the same example-based approach adopted for the first volume. The text explores topics including robustness, expectiles, m-quantile, decomposition, time series, elemental sets and linear programming.
Domenico Vistocco, Marilena Furno
semanticscholar +5 more sources
Volume two of Quantile Regression offers an important guide for applied researchers that draws on the same example-based approach adopted for the first volume. The text explores topics including robustness, expectiles, m-quantile, decomposition, time series, elemental sets and linear programming.
Domenico Vistocco, Marilena Furno
semanticscholar +5 more sources
ESG performance and green innovation: An investigation based on quantile regression
Business Strategy and the Environment, 2023Han Long +3 more
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Resources policy, 2023
In times of financial crisis as well as during the COVID-19 era, gold and crude oil are the two commodities that have the most influence on global stock markets and the real economy.
Fang Liu, Muhammad Umair, Junjun Gao
semanticscholar +1 more source
In times of financial crisis as well as during the COVID-19 era, gold and crude oil are the two commodities that have the most influence on global stock markets and the real economy.
Fang Liu, Muhammad Umair, Junjun Gao
semanticscholar +1 more source
IEEE Transactions on Power Systems, 2023
Probabilistic forecasting that quantifies the prediction uncertainties is crucial for decision-making in power systems. As a prevalent nonparametric probabilistic forecasting approach, traditional machine learning-based quantile regression encounters the
Wenkang Cui, C. Wan, Yonghua Song
semanticscholar +1 more source
Probabilistic forecasting that quantifies the prediction uncertainties is crucial for decision-making in power systems. As a prevalent nonparametric probabilistic forecasting approach, traditional machine learning-based quantile regression encounters the
Wenkang Cui, C. Wan, Yonghua Song
semanticscholar +1 more source
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 +3 more
openaire +3 more sources
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 +3 more
openaire +3 more sources
Journal of Cleaner Production, 2021
In the social context of enhancing environmental quality and mitigating climate change, the improvement of carbon emission efficiency has emerged as a hot topic recently due to its promise as an approach to reduce emissions and improve environmental ...
Zihan Xie, Rong Wu, Shaojian Wang
semanticscholar +1 more source
In the social context of enhancing environmental quality and mitigating climate change, the improvement of carbon emission efficiency has emerged as a hot topic recently due to its promise as an approach to reduce emissions and improve environmental ...
Zihan Xie, Rong Wu, Shaojian Wang
semanticscholar +1 more source