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Data Collectionhard
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Consider a population where the variance of an estimator is being studied. If we use the jackknife method to estimate the variance of a statistic θ^\hat{\theta}θ^, and the jackknife estimate is vjack=n−1n∑i=1n(θ^(i)−θ^(⋅))2v_{jack} = \frac{n-1}{n} \sum_{i=1}^{n} (\hat{\theta}_{(i)} - \hat{\theta}_{(\cdot)})^2vjack​=nn−1​∑i=1n​(θ^(i)​−θ^(⋅)​)2, what does the term θ^(i)\hat{\theta}_{(i)}θ^(i)​ represent?