The maximum likelihood estimation (MLE) from an RSS sample is consistent an asymptotically normal and more efficient than its counterpart from an SRS sample.
RSS样本下参数的极大似然估计(MLE)仍然是相合的和渐近正态的，而且RSS样本下参数的MLE较同样情况下SRS样本下参数的MLE更有效。
The maximum likelihood estimation (MLE) from an RSS sample is consistent an asymptotically normal and more efficient than its counterpart from an SRS sample.
RSS样本下参数的极大似然估计(MLE)仍然是相合的和渐近正态的，而且RSS样本下参数的MLE较同样情况下SRS样本下参数的MLE更有效。
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