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Ratio estimators in adaptive cluster sampling

Environmetrics, 2007
AbstractIn most surveys data are collected on many items rather than just the one variable of primary interest. Making the most use of the information collected is a issue of both practical and theoretical interest. Ratio estimates for the population mean or total are often more efficient.
Arthur L. Dryver, Chang‐Tai Chao
openaire   +1 more source

Adjusted two-stage adaptive cluster sampling

Applied Mathematics and Computation, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Khan, A., Muttlak, H. A.
openaire   +2 more sources

Use of calibration constraints and linear moments for variance estimation under stratified adaptive cluster sampling

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2022
U. Shahzad   +3 more
semanticscholar   +1 more source

Adaptive cluster sampling with a data driven stopping rule

Statistical Methods & Applications, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
GATTONE, Stefano Antonio   +1 more
openaire   +2 more sources

Designing an efficient adaptive cluster sample

Environmental and Ecological Statistics, 2003
The choice of neighborhood definition and critical value in adaptive cluster sampling is critical for designing an efficient survey. In designing an efficient adaptive cluster sample one should aim for a small difference between the initial and final sample size, and a small difference between the within-network and population variances.
openaire   +1 more source

Generalizing systematic adaptive cluster sampling for forest ecosystem inventory

, 2021
Qing Xu   +5 more
semanticscholar   +1 more source

Adaptive Sampling for k-Means Clustering

2009
We show that adaptively sampled O (k ) centers give a constant factor bi-criteria approximation for the k -means problem, with a constant probability. Moreover, these O (k ) centers contain a subset of k centers which give a constant factor approximation, and can be found using LP-based techniques of Jain and Vazirani [JV01] and Charikar et al. [CGTS02]
Ankit Aggarwal   +2 more
openaire   +1 more source

Constrained inverse adaptive cluster sampling

1999
In the paper a new adaptive cluster design is suggested.
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Estimation of rare and clustered population mean using stratified adaptive cluster sampling

Environmental and Ecological Statistics, 2020
Muhammad Nouman Qureshi   +2 more
semanticscholar   +1 more source

Negative Adaptive Cluster Sampling

2021
Raosaheb Latpate   +3 more
openaire   +1 more source

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