Results 181 to 190 of about 13,308 (240)

Jackknife and bootstrapping resampling techniques to evaluate the precision of lens formula constants. [PDF]

open access: yesActa Ophthalmol
Langenbucher A   +5 more
europepmc   +1 more source

Probing non-equilibrium topological order on a quantum processor. [PDF]

open access: yesNature
Will M   +8 more
europepmc   +1 more source

Predicting Critical Micelle Concentrations from Short Time Scale Simulations. [PDF]

open access: yesJ Phys Chem B
Rummel F   +4 more
europepmc   +1 more source

New approaches to meta-analyze differences in skewness, kurtosis, and correlation. [PDF]

open access: yesPLoS Biol
Pollo P   +7 more
europepmc   +1 more source

The jackknife-a review

Biometrika, 1974
SUMMARY Research on the jackknife technique since its introduction by Quenouille and Tukey is reviewed. Both its role in bias reduction and in robust interval estimation are treated. Some speculations and suggestions about future research are made. The bibliography attempts to include all published work on jackknife methodology.
openaire   +2 more sources

Sharpening the jackknife

Biometrika, 1976
SUMMARY The jackknife is now well known as a widely applicable bias-reduction tool, with the added advantages of Tukey's variance estimator, and in certain applications, a gain in precision. In this paper a new family of jackknives is introduced, together with a variance estimator.
openaire   +2 more sources

Jackknifing R-estimators

Biometrika, 1989
Sufficient conditions are given for the consistency of the jackknife variance estimator for R-estimators of location in the one- and two- sample problems. In particular, the jackknife is shown to produce strongly consistent estimates of the variance of the Hodges-Lehmann estimator.
Schucany, William R., Sheather, Simon J.
openaire   +1 more source

Jackknifing Disattenuated Correlations

Psychometrika, 1976
The utility of the jackknife for constructing confidence intervals and testing hypotheses about the disattenuated correlation is evaluated for small samples. Computer simulations were used to generate the empirical sampling distributions of jackknife statistics for two sample sizes (30, 60), five values of the disattenuated ...
openaire   +2 more sources

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