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Horvitz-Thompson strategy vs. stratified random sampling strategy. (English) Zbl 0542.62004
Summary: C.-M. Cassel, C.-E. Särndal and J. H. Wretman, Foundations of inference in survey sampling. (1977; Zbl 0391.62007), discussed the correspondence between the Horvitz-Thompson strategy and the stratified random sampling strategy for a special case of the general superpopulation model. We consider a more general model and discuss the correspondence between these strategies in a more formal way.
62D05 Sampling theory, sample surveys
Full Text: DOI
[1] Cassel, C.-M.; Särndal, C.-E.; Wretman, J.H., Foundations of inference in survey sampling, (1977), Wiley New York
[2] Hanurav, T.V., Optimum sampling strategies and some related problems, () · Zbl 0164.48901
[3] Horvitz, D.G.; Thompson, D.J., A generalization of sampling without replacement from a finite universe, J. amer. statist. assoc., 47, 663-685, (1952) · Zbl 0047.38301
[4] Neyman, J., On two different aspects of the representative method, the method of stratified sampling and the method of purposive selection, J. roy. statist. soc., 97, 558-606, (1934) · JFM 61.1310.02
[5] Ramachandran, G.; Rao, T.J., Allocation to strata and relative efficiencies of stratified and unstratified ∏PS sampling schemes, J. roy. statist. soc., 36, 292-298, (1974) · Zbl 0287.62007
[6] Rao, T.J., On the allocation of sample size in stratified sampling, Ann. inst. stat. math., 20, 159-166, (1968) · Zbl 0164.49201
[7] Rao, T.J., Optimum allocation of sample size and prior distributions: a review, Internat. statist. rev., 45, 173-179, (1977) · Zbl 0366.62008
[8] Sampford, M.R., An introduction to sampling theory with applications to agriculture, (1962), Oliver and Boyd Edinburgh · Zbl 0117.14506
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