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Adjusted two-stage adaptive cluster sampling

Applied Mathematics and Computation, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
A. Khan, Hassen A. Muttlak
exaly   +4 more sources

Two-Stage Negative Adaptive Cluster Sampling

Communications in Mathematics and Statistics, 2018
The 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.
exaly   +3 more sources

Two-Stage Sampling

Series on Multivariate Analysis, 1998
exaly   +2 more sources

ON TWO‐STAGE SUCCESSIVE SAMPLING

Australian Journal of Statistics, 1969
SummaryIn 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.
openaire   +2 more sources

Adaptive Cluster Sampling in Two-stage Sampling

Australian & New Zealand Journal of Statistics, 2014
Summary: 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
openaire   +1 more source

Two‐stage complete allocation sampling

Environmetrics, 2017
An 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.
openaire   +4 more sources

Two-Stage Adaptive Cluster Sampling

Biometrics, 1997
Summary: 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.
openaire   +2 more sources

Two-stage designs with small sample sizes

Journal of Biopharmaceutical Statistics, 2022
When 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
openaire   +2 more sources

TWO‐stage sampling in pharmaceutical applications

Statistics in Medicine, 1993
AbstractIn 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
openaire   +2 more sources

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