Exact(8)
Heltshe, J. F. & Forrester, N. E. Estimating species richness using the jackknife procedure.
We proceeded to fit several models in sequential steps using the jackknife procedure in Maxent, each time removing variable(s) that were weak contributors to the overall quality (gain) of the respective model, or that did not make significant independent contributions to the model.
The relative contribution of each environmental dimension to the overall predictive model of human monkeypox occurrence was assessed using the jackknife procedure ( Table 1 ).
Finally, the importance of each variable to the final model was analyzed using the jackknife procedure implemented in Maxent, where separate models are analyzed that include each variable alone; the resulting effect on training gain can be viewed as a measure of the information contained by the particular variable.
Means and standard errors were estimated using the jackknife procedure.
Sensitivity analysis was assessed using the Jackknife procedure by looking at the individual influence of a study and then repeating the analysis by excluding the studies with the largest weights.
Similar(52)
Quite promising predictions are obtained using the jackknife test and compared with other predictive methods.
Confidence intervals were derived using the jackknife method.
The estimate of the precision of the SRM calculated was performed using the Jackknife technique; 95% CI Jackknife SRMs are given in Table 6.
Occurrence data from 2005 through 2008 were used to perform the jackknife procedure, and the average area under the receiver operating characteristic (ROC)[ 15] curve (AUC) was used to evaluate predictive accuracy of the model.
We perform jackknife replicates of the a ^ (d ) curve computation and fitting, leaving out one chromosome in each replicate, and estimate a standard error for the amplitude and decay constant of the curve using the usual jackknife procedure.
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