Results 41 to 50 of about 970,148 (271)

Nonparametric maximum likelihood estimation of the survival function using current lifetime data

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract An issue when estimating the failure time survival function is how to set up a prevalent cohort study infrastructure to follow subjects after enrollment. This problem can be circumvented through the well‐known Grenander density estimator using current lifetime observations only.
James H. McVittie, Masoud Asgharian
wiley   +1 more source

Sequence imputation from low density single nucleotide polymorphism panel in a black poplar breeding population

open access: yesBMC Genomics, 2019
Background Genomic selection accuracy increases with the use of high SNP (single nucleotide polymorphism) coverage. However, such gains in coverage come at high costs, preventing their prompt operational implementation by breeders.
Marie Pégard   +7 more
doaj   +1 more source

Optimal subsampling for regression with mixed‐type predictors

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Subsampling has emerged as an appealing strategy to mitigate the computational and storage challenges imposed by large datasets. Recent subsampling techniques have shown notable computational gains for data dominated by numerical predictors. However, real‐world datasets frequently contain both numerical and categorical predictors.
Jiaqing Zhu, Lin Wang, Fasheng Sun
wiley   +1 more source

Homophily‐adjusted social influence estimation

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Homophily and social influence are two key concepts of social network analysis. Distinguishing between these phenomena is difficult, and approaches to disambiguate the two have been primarily limited to longitudinal data analyses. In this study, we provide sufficient conditions for valid estimation of social influence through cross‐sectional ...
Hanh T.D. Pham, Daniel K. Sewell
wiley   +1 more source

Spatiotemporal Variation of Particulate Fallout Instances in Sfax City, Southern Tunisia: Influence of Sources and Meteorology

open access: yesAdvances in Meteorology, 2015
Particles deposition in the main industrial zone of Sfax City (southern Tunisia) was studied by weekly monitoring particulate fallout instances at twenty sites from November 11, 2012, to April 15, 2013.
Moez Bahloul   +5 more
doaj   +1 more source

L’importance accordée par des ergothérapeutes canadiens à des valeurs phares de la profession

open access: yesRevue Francophone de Recherche en Ergothérapie, 2019
Introduction. Bien que plusieurs raisons justifient d’étudier les valeurs professionnelles des ergothérapeutes, peu d’études empiriques les ont documentées. Objectif.
Marie-Josée Drolet   +1 more
doaj   +1 more source

Thermal resistivity and hydrodynamics of the degenerate electron fluid in antimony

open access: yesNature Communications, 2021
Viscous fermionic flow appears in liquid helium but rarely appears in metallic solid. Here, Jaoui et al. report a T-square thermal resistivity due to momentum conserving electronic scattering in semi-metallic antimony, which is in agreement with the ...
Alexandre Jaoui   +2 more
doaj   +1 more source

Extreme conditional quantile estimation for time series

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract We consider the estimation of an extreme conditional quantile QY(1−p|x0)$$ {Q}_Y\left(1-p|{x}_0\right) $$ for a heavy‐tailed distribution in the case of a strictly stationary time series (Xt,Yt)t∈ℤ$$ {\left({X}_t,{Y}_t\right)}_{t\in \mathbb{Z}} $$. Here, QY(·|x0)$$ {Q}_Y\left(\cdotp |{x}_0\right) $$ denotes the conditional quantile function of
Yuri Goegebeur   +2 more
wiley   +1 more source

Some particular design considerations for optimum utilization of under floor heating systems

open access: yesCase Studies in Thermal Engineering, 2018
This paper aims at studying the thermal behavior of an under floor heating system via CFD calculations. The results have discussed some important parameters that need to be controlled for an appropriate operation of the system.
S. Oubenmoh   +6 more
doaj   +1 more source

Sparse maximum likelihood estimation of regression models

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract For regression model selection and estimation, we study a small set of candidate models of maximum likelihood from which all information criteria such as the Akaike information criterion (AIC) and the Bayesian information criterion (BIC) choose their models.
Min Tsao
wiley   +1 more source

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