Adaptive Sampling Designs: Inverse Sampling Methods
Seber, George A. F.; Salehi, Mohammad M.
2012-10-23 00:00:00
[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.]
http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.pnghttp://www.deepdyve.com/lp/springer-journals/adaptive-sampling-designs-inverse-sampling-methods-wgLLvUYehb
[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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