Hence, in the case of perfect rankings not only is X*an unbiased estimator, its variance is always no larger than the variance of the SRS estimator X based on the same number of measured observations. In fact, this is a strict inequality unless µ(i)
* = µ for all i = 1, …, k, which is the case only if the judgement rankings are purely random.
Hence, in the case of perfect rankings not only is X*an unbiased estimator, its variance is always no larger than the variance of the SRS estimator X based on the same number of measured observations. In fact, this is a strict inequality unless µ(i)* = µ for all i = 1, …, k, which is the case only if the judgement rankings are purely random.
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