Abstract:Adaptive cluster sampling is a design specifically developed for rare and clustered populations. Using this sampling design, we consider the case when an auxiliary variable is available in addition to the variable of interest. The use of auxiliary information has been shown to improve the efficiency of estimators although this results in asymptotically design‐unbiased estimators. Consider wildlife population in a protected area. Its distribution and abundance can partly be influenced by such factors as disease… Show more
“…Adaptive cluster sampling is particularly valuable in environmental surveys, where the presence of a rare species or pollutant animal populations, adaptive cluster sampling allows researchers to focus their efforts where high concentrations of the target species are found, thus optimizing resources and improving data quality [3]. In the field of epidemiology, especially in studying the spread of rare diseases, this sampling method can be crucial for identifying and understanding clusters of disease outbreaks, thereby enhancing the effectiveness of public health interventions [4].…”
This paper introduces the principle of PPS-based adaptive cluster sampling method and its modified HH estimator and HT estimator calculation method. It compares PPS-based adaptive cluster sampling method with SRS sampling and SRS-based adaptive group. The difference between the group sampling and the advantages and scope of the PPS adaptive cluster sampling method are analyzed. According to the case analysis, the relevant conclusions are drawn: 1) The adaptive cluster sampling method is more accurate than the SRS sampling; 2) SRS adaptive The HT estimator of the cluster sampling is more stable than the HH estimator; 3) The two estimators of the PPS adaptive cluster sampling method have little difference in the estimation of the population mean, but the HT estimator variance is smaller and more suitable; 4) PPS The HH estimator of adaptive cluster sampling is the same as the HH estimator of SRS adaptive cluster sampling, but the variance is larger and unstable.
“…Adaptive cluster sampling is particularly valuable in environmental surveys, where the presence of a rare species or pollutant animal populations, adaptive cluster sampling allows researchers to focus their efforts where high concentrations of the target species are found, thus optimizing resources and improving data quality [3]. In the field of epidemiology, especially in studying the spread of rare diseases, this sampling method can be crucial for identifying and understanding clusters of disease outbreaks, thereby enhancing the effectiveness of public health interventions [4].…”
This paper introduces the principle of PPS-based adaptive cluster sampling method and its modified HH estimator and HT estimator calculation method. It compares PPS-based adaptive cluster sampling method with SRS sampling and SRS-based adaptive group. The difference between the group sampling and the advantages and scope of the PPS adaptive cluster sampling method are analyzed. According to the case analysis, the relevant conclusions are drawn: 1) The adaptive cluster sampling method is more accurate than the SRS sampling; 2) SRS adaptive The HT estimator of the cluster sampling is more stable than the HH estimator; 3) The two estimators of the PPS adaptive cluster sampling method have little difference in the estimation of the population mean, but the HT estimator variance is smaller and more suitable; 4) PPS The HH estimator of adaptive cluster sampling is the same as the HH estimator of SRS adaptive cluster sampling, but the variance is larger and unstable.
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