Ranked Set Sampling with Non‐Random Selection of Sets and Errors in Ranking

M. S. Ridout and J. M. Cobby

Journal of the Royal Statistical Society Series C, 1987, vol. 36, issue 2, 145-152

Abstract: Ranked set sampling is a technique for estimating the mean of a population, of use when accurate measurement of samples is difficult but ranking sets of samples is relatively easy. In this paper previous work on imperfect ranking is integrated with a simple model of non‐random selection of samples within a set and the effect of these sources of error on the precision of the estimator is examined. The relationship with double sampling is also discussed.

Date: 1987
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