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Adaptive cluster double sampling
Biometrika, 2004Summary: We present a multi-phase variant of adaptive cluster sampling which allows the sampler to control the number of measurements of the variable of interest. A first-phase sample is selected using an adaptive cluster sampling design based on an inexpensive auxiliary variable associated with the survey variable.
Félix-Medina, Martín H. +1 more
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Restricted adaptive cluster sampling
Environmental and Ecological Statistics, 1998Adaptive cluster sampling can be a useful design for sampling rare and patchy populations. With this design the initial sample size is fixed but the size of the final sample (and total sampling effort) cannot be predicted prior to sampling. For some populations the final sample size can be quite variable depending on the level of patchiness. Restricted
J. A. Brown, B. J. F. Manly
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Stratified Adaptive Cluster Sampling
Biometrika, 1991SUMMARY Stratified adaptive cluster sampling refers to designs in which, following an initial stratified sample, additional units are added to the sample from the neighbourhood of any selected unit with an observed value that satisfies a condition of interest.
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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 Adaptive Cluster Sampling
2021Adaptive sampling is a method in which selection of units at any stage of sampling depends upon the information collected from the already selected units in the initial sample. It means, if one finds what he/she is looking for at a particular location then he/she would sample in the vicinity of that location with the hope of obtaining more information.
Raosaheb Latpate +3 more
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Symmetry
Adaptive cluster sampling (ACS) is an efficient sampling technique for studying populations where the characteristic of interest is rare or spatially clustered.
Nipaporn Chutiman +3 more
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Adaptive cluster sampling (ACS) is an efficient sampling technique for studying populations where the characteristic of interest is rare or spatially clustered.
Nipaporn Chutiman +3 more
semanticscholar +1 more source
Journal of the American Statistical Association, 1990
Abstract In many real-world sampling situations, researchers would like to be able to adaptively increase sampling effort in the vicinity of observed values that are high or otherwise interesting. This article describes sampling designs in which, whenever an observed value of a selected unit satisfies a condition of interest, additional units are added
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Abstract In many real-world sampling situations, researchers would like to be able to adaptively increase sampling effort in the vicinity of observed values that are high or otherwise interesting. This article describes sampling designs in which, whenever an observed value of a selected unit satisfies a condition of interest, additional units are added
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Efficient Classes of Robust Ratio Type Estimators of Mean and Variance in Adaptive Cluster Sampling
International journal of agricultural and statistical sciencesThis paper proposes two classes of robust ratio type estimators of finite population mean and two classes of robust ratio type estimators of finite population variance using a single auxiliary variable under the adaptive cluster sampling design.
Yashpal Singh Raghav +4 more
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2012
One of the main methods of adaptive sampling is adaptive cluster sampling. As it involves unequal probability of sampling, standard Horvitz-Thompson and Hansen-Hurwitz estimators can be modified to provide unbiased estimates of finite population parameters along with unbiased variance estimators.
George A. F. Seber, Mohammad M. Salehi
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One of the main methods of adaptive sampling is adaptive cluster sampling. As it involves unequal probability of sampling, standard Horvitz-Thompson and Hansen-Hurwitz estimators can be modified to provide unbiased estimates of finite population parameters along with unbiased variance estimators.
George A. F. Seber, Mohammad M. Salehi
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Negative Adaptive Cluster Double Sampling
2021We have discussed the methods of ACDS and NACS in detail in the previous chapter. In this chapter, we have proposed another new method for estimating the mean/total of the variable of interest. This method is a two-phase variant of the NACS obtained by combining the idea of double sampling and NACS.
Raosaheb Latpate +3 more
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