Results 181 to 190 of about 13,308 (240)
Jackknife and bootstrapping resampling techniques to evaluate the precision of lens formula constants. [PDF]
Langenbucher A +5 more
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Probing non-equilibrium topological order on a quantum processor. [PDF]
Will M +8 more
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Enhancement of hidden Markov model analyses for improved inference of archaic introgression in modern humans. [PDF]
Coll Macià M +3 more
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Predicting Critical Micelle Concentrations from Short Time Scale Simulations. [PDF]
Rummel F +4 more
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Potential distribution, range dynamics, and livestock exposure risk of <i>Veratrum nigrum</i> L. in China under climate change. [PDF]
Zhang S +7 more
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New approaches to meta-analyze differences in skewness, kurtosis, and correlation. [PDF]
Pollo P +7 more
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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.
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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.
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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.
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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
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.
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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.
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Jackknifing Disattenuated Correlations
Psychometrika, 1976The 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 ...
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