‘Some asymptotic results for the systematic and stratified sampling of a finite population’
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This paper leaves a misleading impression. When estimating a population mean, Y¯N, the estimator Y^G=Y¯S+G.(X¯S−X¯N), where Y¯S is the sample mean of the Yi and G is any bounded function of the sample, is design consistent in both the Cochran sense, as sample size n approaches population size N, and the Isaki-Fuller sense, as n approaches infinity with n/N fixed, under simple random sampling. The perversity of Cochran design consistency may be seen when ŶG is combined with a different samping design, D, that selects with certainty the n units with smallest Xi, values. Not only is the estimation strategy combining D and ŶG Cochran design consistent, but so is the strategy combining D and Y^G*=nY¯S/N+G.(nX¯S/N−X⇀N).