Heltshe, J. F. & Forrester, N. E. Estimating species richness using the jackknife procedure.
Quite promising predictions are obtained using the jackknife test and compared with other predictive methods.
Total species richness at the regional level was calculated by extrapolating the species-area curves (Supplementary Figs 4 7) using the jackknife method of first order54.
Given low occurrence data samples, we tested model predictions using the jackknife manipulation proposed by Pearson et al. [71], the only robust test for evaluating models based on small samples: N−1 points are used to develop N jackknifed models.
Means and standard errors were estimated using the jackknife procedure.
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.
Areas under the ROC curves were compared using the jackknife method proposed by DeLong et al. [ 36].
The jackknife test was performed using the <0.7 training set while the normal training set was used to perform independent test.
The method uses the Jackknife method in which each entry is taken from the list and identified against each group.
We used the jackknife estimator [ 26] to estimate the variance of the fluidity estimator Var.
