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An Optimal Sampling Strategy for Large Unistage Samples

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

Abstract

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.

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© 1983 Springer Science+Business Media New York

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Brewer, K.R.W., Hanif, M. (1983). An Optimal Sampling Strategy for Large Unistage Samples. In: Sampling With Unequal Probabilities. Lecture Notes in Statistics, vol 15. Springer, New York, NY. https://doi.org/10.1007/978-1-4684-9407-5_6

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  • DOI: https://doi.org/10.1007/978-1-4684-9407-5_6

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-90807-6

  • Online ISBN: 978-1-4684-9407-5

  • eBook Packages: Springer Book Archive

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