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Adaptive cluster path sampling
Communications in Statistics - Simulation and Computation, 2022Path sampling is one of the economical sampling designs for spatial populations since it provides the capability of sampling all units along a path traveled during a survey.
Mena Lao, Arthur Dryver
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Negative adaptive cluster sampling
Model Assisted Statistics and Applications, 2019The traditional sampling methods such as simple random sampling, stratified sampling etc. cannot be used to study the rare and clustered populations. Such type of populations are frequently observed in ecological, environmental and social sciences. In such situations, often the auxiliary information is collected along with the variable of interest ...
Latpate, R.V., Kshirsagar, J.K.
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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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Variance estimation in adaptive cluster sampling
Communications in Statistics - Theory and Methods, 2019In this paper, a class of variance estimator is proposed of a finite population variance under an adaptive cluster sampling design in the presence of information on an auxiliary variable.
Uzma Yasmeen, Mary Thompson
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Two Phase Adaptive Cluster Sampling under Transformed Population Approach
Lobachevskii Journal of Mathematics, 2023Raghav, Yashpal Singh +5 more
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Communications in Statistics - Theory and Methods, 2023
This article addresses the problem of estimating the population mean of variable y using information from multiple auxiliary variables in adaptive cluster sampling.
H. P. Singh +3 more
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This article addresses the problem of estimating the population mean of variable y using information from multiple auxiliary variables in adaptive cluster sampling.
H. P. Singh +3 more
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Generalized Ratio Type Estimator under Adaptive Cluster Sampling
Journal of scientific research, 2023The Adaptive Cluster Sample (ACS) sampling design is employed for the evaluation of scarce, concentrated, vulnerable, and complicated population parameters. Generalized ratio type estimator under ACS has been proposed in this paper.
Arshid Ahmad Bhat +3 more
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Inverse Adaptive Cluster Sampling
Biometrics, 2001Consider a population in which the variable of interest tends to be at or near zero for many of the population units but a subgroup exhibits values distinctly different from zero. Such a population can be described as rare in the sense that the proportion of elements having nonzero values is very small.
Christman, Mary C., Lan, Feng
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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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Adaptive Cluster Double Sampling
2021ACS introduced by Thompson (1990) has been found appropriate for sampling of rare and clustered populations. But it suffers from drawback of losing control of the final sample size. There have been several suggestions for limiting this final sample size of adaptive cluster samples.
Raosaheb Latpate +3 more
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