Robust Estimation in Finite Populations I
作者： Richard M. Royall , Jay Herson
DOI: 10.1080/01621459.1973.10481440
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摘要: Abstract This is an application of a least-squares prediction approach to finite population sampling theory. One way in which this differs from the conventional one its focus on characteristics particular samples rather than plans for choosing samples. Here we study many superpopulation models lead same optimal (BLU) estimator. Random considered light these results.
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