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Population pharmacokinetic model of oral minocycline in critically ill adult patients with ventilator-associated pneumonia. [PDF]
J Antimicrob ChemotherAthanassa Z +11 more
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Data collaboration for causal inference from limited medical testing and medication data. [PDF]
Sci RepNakayama T +9 more
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Genetic diversity and phylogeny of avian orthoreovirus isolates from Peruvian broiler chickens. [PDF]
Microbiol Resour AnnouncVillanueva-Pérez D +8 more
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Phylogeographic Patterns and Genetic Diversity of <i>Anopheles stephensi</i>: Implications for Global Malaria Transmission. [PDF]
Trop Med Infect DisKhan J +8 more
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Preschool children's social skills, problem behaviors, academic self-esteem and teacher-child relationship: a serial mediation model. [PDF]
Front PsycholTutkun C, Eskidemir Meral S.
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An Introduction to the Bootstrap
Biometrics, 1995Statistics is the science of learning from experience, especially experience that arrives a little bit at a time. The earliest information science was statistics, originating in about 1650.
B. Efron, R. Tibshirani
semanticscholar +5 more sources
, 2022
This article provides an introduction to the bootstrap. The bootstrap provides statistical inferences—standard error and bias estimates, confidence intervals, and hypothesis tests—without assumptions such as Normal distributions or equal variances.
Tim Hesterberg
semanticscholar +1 more source
This article provides an introduction to the bootstrap. The bootstrap provides statistical inferences—standard error and bias estimates, confidence intervals, and hypothesis tests—without assumptions such as Normal distributions or equal variances.
Tim Hesterberg
semanticscholar +1 more source
1995
Des résultats mathématiques nouveaux sur une extension de la méthode du bootstrap proposée par David Mason (1992) sont exposés. L'idée est de pondérer les individus par des poids aléatoires (définis conditionnellement aux observations) imitant les fluctuations de l'échantillonnage (le bootstrap usuel correspondant à des poids multinomiaux).
Barbe, P., Bertail, Patrice
openaire +6 more sources
Des résultats mathématiques nouveaux sur une extension de la méthode du bootstrap proposée par David Mason (1992) sont exposés. L'idée est de pondérer les individus par des poids aléatoires (définis conditionnellement aux observations) imitant les fluctuations de l'échantillonnage (le bootstrap usuel correspondant à des poids multinomiaux).
Barbe, P., Bertail, Patrice
openaire +6 more sources
Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models
, 1998Efficiency scores of production units are generally measured relative to an estimated pro-duction frontier. Nonparametric estimators (DEA, FDH,···) are based on a finite sample of observed production units. The bootstrap is one easy way to analyze the
L. Simar, P. W. Wilson
semanticscholar +1 more source
2020
International audience; The bootstrap is a technique for performing statistical inference. The underlying idea is that most properties of an unknown distribution can be estimated as the same properties of an estimate of that distribution. In most cases, these properties must be estimated by a simulation experiment.
Davidson, Russell, Hurn, Stan
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International audience; The bootstrap is a technique for performing statistical inference. The underlying idea is that most properties of an unknown distribution can be estimated as the same properties of an estimate of that distribution. In most cases, these properties must be estimated by a simulation experiment.
Davidson, Russell, Hurn, Stan
openaire +2 more sources