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Adjusted two-stage adaptive cluster sampling
Applied Mathematics and Computation, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
A. Khan, Hassen A. Muttlak
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Two-Stage Negative Adaptive Cluster Sampling
Communications in Mathematics and Statistics, 2018The authors deal with adaptive cluster sampling, a better alternative of the simple random sampling in cases when the population is rare and clustered. With this approach, auxiliary information is often used in order to overcome the problem with the increasing sample size.
Latpate, R. V., Kshirsagar, J. K.
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ON TWO‐STAGE SUCCESSIVE SAMPLING
Australian Journal of Statistics, 1969SummaryIn repeated sampling enquiries application of method of successive sampling with partial replacement of units is advantageous. In this paper use of successive sampling technique when the sampling design is multi‐stage has been studied. Estimates of population mean and its variance have been obtained (a) on the second occasion, and (b) on the h ...
Singh, D., Kathuria, O. P.
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Adaptive Cluster Sampling in Two-stage Sampling
Australian & New Zealand Journal of Statistics, 2014Summary: Adaptive cluster sampling can be a useful design for surveying rare and clustered populations. Here we present a new development in adaptive cluster sampling where we use a two-stage design and extend the complete allocation sampling method.
Moradi, Mohammad +2 more
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Two‐stage complete allocation sampling
Environmetrics, 2017An adaptive sample involves modifying the sampling design on the basis of information obtained during the survey while remaining in the probability sampling framework. Complete allocation sampling is an efficient and easily implemented 2‐phase adaptive sampling design that targets field effort to rare species and is logistically feasible.
Salehi, Mohammad M., Seber, George A. F.
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Two-Stage Adaptive Cluster Sampling
Biometrics, 1997Summary: Adaptive cluster sampling is a powerful method for parameter estimation when a population is highly clumped with clumps widely separated. Unfortunately, its use has been somewhat limited until now because of the lack of a suitable theory for using a pilot survey to design an experiment with a given efficiency or expected cost.
Salehi M., Mohammad, Seber, George A. F.
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Two-stage designs with small sample sizes
Journal of Biopharmaceutical Statistics, 2022When applying group-sequential designs in clinical trials with normally distributed outcomes, approximate critical values are often applied. Here, normally distributed test statistics are assumed which, however, are in fact t-distributed. For small sample sizes, the approximation may lead to a serious inflation of the type I error rate.
Meinhard Kieser +2 more
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TWO‐stage sampling in pharmaceutical applications
Statistics in Medicine, 1993AbstractIn the pharmaceutical industry, some tests for quality assurance before, during and after the manufacture of a drug product involve a two‐stage sampling technique. We propose statistical testing procedures in a two‐stage sampling problem with large within‐class sample sizes.
J, Shao, S C, Chow
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