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This is a simple technique. Let's say you want to estimate a parameter p (proportion, mean, it does not matter). * Divide your observations into N random buckets * Compute the estimated value for each bucket * Rank these estimates, from p_1 (smallest value) to p_N (largest value) * Let p_k be your confidence interval lower bound for p, with k less than N/2 * Let p_(N-k+1) be your confidence inte…
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