Results 11 to 20 of about 60,047 (288)
Two-stage adaptive cluster sampling [PDF]
Statistical Methods & Applications, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Naddeo, Stefania, Pisani, Caterina
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Ratio Estimator in Adaptive Cluster Sampling without Replacement of Networks [PDF]
Journal of Probability and Statistics, 2014 In this paper, we study the estimators of the population total in adaptive cluster sampling by using the information of the auxiliary variable. The numerical examples showed that the ratio estimator in adaptive cluster sampling without replacement of ...
Nipaporn Chutiman, Monchaya Chiangpradit
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Inventory of sparse forest populations using adaptive cluster sampling [PDF]
Silva Fennica, 2006 In many studies, adaptive cluster sampling (ACS) proved to be a powerful tool for assessing rare clustered populations that are difficult to estimate by means of conventional sampling methods.
Talvitie, Mervi +2 more
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Improved Unbiased Estimators in Adaptive Cluster Sampling
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2004 SummaryThe usual design-unbiased estimators in adaptive cluster sampling are easy to compute but are not functions of the minimal sufficient statistic and hence can be improved. Improved unbiased estimators obtained by conditioning on sufficient statistics—not necessarily minimal—are described. First, estimators that are as easy to compute as the usual
Dryver, Arthur L., Thompson, Steven K.
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Revista Árvore, 2009 O objetivo deste trabalho foi comparar procedimentos de amostragem para espécies florestais com populações raras e padrão de distribuição espacial agregado.
Carlos Pedro Boechat Soares +5 more
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Improved ratio type generalized class of estimators in two phase adaptive cluster sampling [PDF]
Big Data and Computing VisionsIn this paper, an improved ratio type class of estimators in the two phase Adaptive Cluster Sampling (ACS) design under the transformed population approach has been proposed.
Rohan Mishra, Rajesh Singh
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Optimization of Scat Detection Methods for a Social Ungulate, the Wild Pig, and Experimental Evaluation of Factors Affecting Detection of Scat. [PDF]
PLoS ONE, 2016 Collection of scat samples is common in wildlife research, particularly for genetic capture-mark-recapture applications. Due to high degradation rates of genetic material in scat, large numbers of samples must be collected to generate robust estimates ...
David A Keiter +4 more
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Improvement of low level bark beetle damage estimates with adaptive cluster sampling
Silva Fennica, 2010 Detection of low level infestation in forest stands is of principle importance to determine effective control strategies before the attack spread to large areas.
Coggins, Sam +2 more
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Variance estimation in stratified adaptive cluster sampling
, 2022 In many sampling surveys, the use of auxiliary information at either the design or estimation stage, or at both these stages is usual practice. Auxiliary information is commonly used to obtain improved designs and to achieve a high level of precision in ...
Hanif, Muhammad +2 more
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Energies, 2022 Energy-economic simulation models with high levels of detail, high time resolutions, or large populations (e.g., distribution networks, households, electric vehicles, energy communities) are often limited due to their computational complexity. This paper
Alexander J. Bogensperger +2 more
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