An Optimal Sampling Strategy for Large Unistage Samples

Part of the Lecture Notes in Statistics book series (LNS, volume 15)


The sampling strategy to be described in this Chapter (Brewer, 1979) was devised for use in the context of large-scale surveys of populations containing units of very different sizes, such as official surveys of establishments and enterprises. Because the samples required are large, asymptotic theory is appropriate. However, the sample may be a significant proportion of the population, and consequently the finite population correction is allowed for.


Ratio Estimation Good Linear Unbiased Predictor Fair Approximation Stratify Sampling Scheme Size Stratification 
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Copyright information

© Springer Science+Business Media New York 1983

Authors and Affiliations

  1. 1.c/o Commonwealth Schools CommissionWoden, CanberraAustralia
  2. 2.Department of StatisticsEl-Fateh UniversityTripoliLibya (S.P.L.A.J.)

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