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Inverse Sampling Methods

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Adaptive Sampling Designs

Part of the book series: SpringerBriefs in Statistics ((BRIEFSSTATIST))

Abstract

Inverse sampling is an adaptive method whereby it is the sample size that is adaptive. On the basis of a new proof, Murthy’s estimator can now be applied with or without adaptive cluster sampling to inverse sampling to provide unbiased estimators of the mean and variance of the mean estimator. A number of sequential plans along with parameter estimates are considered including a general inverse sampling design, multiple inverse sampling when subpopulation sizes are known, quota sampling, multiple inverse sampling, and truncated multiple inverse sampling.

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Notes

  1. 1.

    See Berzofsky, 2008.

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Author information

Authors and Affiliations

  1.  , 7 Milford Park Place, 0620, North Shore, New Zealand

    George A. F. Seber

  2. Department of Statistics, University of Auckland, Auckland, New Zealand

    George A. F. Seber

  3. Department of Mathematics, Statistics and Physics, Qatar University, Doha, 2713, Qatar

    Mohammad M. Salehi

Authors
  1. George A. F. Seber
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  2. Mohammad M. Salehi
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Correspondence to George A. F. Seber .

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Seber, G.A.F., Salehi, M.M. (2012). Inverse Sampling Methods. In: Adaptive Sampling Designs. SpringerBriefs in Statistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33657-7_5

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