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.
The estimate of the precision of the SRM calculated was performed using the Jackknife technique; 95% CI Jackknife SRMs are given in Table 6.
Means and standard errors were estimated using the jackknife procedure.
Confidence intervals were derived using the jackknife method.
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.
We ran LDN e using a model of random mating and used the jackknife option to construct 95% confidence intervals.
Node support was evaluated using the nonparametric bootstrap and jackknife methods in PAUP.
