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When using the jackknife method to estimate the variance of a non-linear statistic , what is the primary assumption required for the jackknife estimate v_{jack} = \frac{n-1}{n} \sum_{i=1}^n (\hat{\theta}_{(i)} - \hat{\theta}_{(\. )})^2 to be consistent?
When using the jackknife method to estimate the variance of a non-linear statistic , what is the primary assumption required for the jackknife estimate v_{jack} = \frac{n-1}{n} \sum_{i=1}^n (\hat{\theta}_{(i)} - \hat{\theta}_{(\. )})^2 to be consistent?