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Multiple Imputation Based on Conditional Quantile Estimation
Multiple imputation is a simulation-based approach for the analysis of data with missing observations. It is widely utilized in many set- tings and preeminent among general approaches when the analytical method does not involve a likelihood function or ...
Matteo Bottai, Huiling Zhen
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Nonparametric estimation of a maximum of quantiles [PDF]
Georg C. Enss +4 more
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Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions [PDF]
David Deuber +3 more
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Associating with mineral surfaces, mineral-associated organic carbon (MAOC) is able to persist against fast decomposition via chemical bonding or physical occlusion, considered as key to soil organic carbon (SOC) stabilisation.
Longnan Shi +2 more
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Smooth quantile ratio estimation
In a study of health care expenditures attributable to smoking, we seek to compare the distribution of medical costs for persons with lung cancer or chronic obstructive pulmonary disease (cases) to those without (controls) using a national survey which includes hundreds of cases and thousands of controls.
Francesca Dominici +3 more
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An Empirical Quantile Estimation Approach to Nonlinear Optimization Problems with Chance Constraints [PDF]
Fengqiao Luo, Jeffrey Larson
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Quantile estimation for Lévy measures
Comment: 38 pages, 1 ...
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Nonparametric Limits of Agreement in Method Comparison Studies: A Simulation Study on Extreme Quantile Estimation. [PDF]
Gerke O.
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A quantile-copula approach to conditional density estimation [PDF]
Olivier P. Faugeras
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This study proposes a novel perspective to calibrate the conditional value at risk (CoVaR) of countries based on the monotone composite quantile regression neural network (MCQRNN).
Chao Ren, Ziyan Zhu, Donghai Zhou
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