Results 71 to 80 of about 30,799 (217)

Multiple Imputation Based on Conditional Quantile Estimation

open access: yesEpidemiology, Biostatistics and Public Health, 2013
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
doaj   +1 more source

Nonparametric estimation of a maximum of quantiles [PDF]

open access: gold, 2014
Georg C. Enss   +4 more
openalex   +1 more source

Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions [PDF]

open access: green, 2021
David Deuber   +3 more
openalex   +1 more source

Estimating mineral-associated organic carbon saturation and sequestration potential using MIR spectral based local quantile regression

open access: yesGeoderma
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
doaj   +1 more source

Smooth quantile ratio estimation

open access: yesBiometrika, 2005
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
openaire   +2 more sources

Quantile estimation for Lévy measures

open access: yesStochastic Processes and their Applications, 2015
Comment: 38 pages, 1 ...
openaire   +2 more sources

Multi-quantile systemic financial risk based on a monotone composite quantile regression neural network

open access: yesFrontiers in Physics
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
doaj   +1 more source

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