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Nolau, I., Gonccalves, K. and Pereira, J. (2020) Model-Based Inference for Rare and Clustered Populations from Adaptive Cluster Sampling using Auxiliary Variables. Journal of Survey Statistics and Methodology, 10, 439-465.
https://doi.org/10.1093/jssam/smab001

has been cited by the following article:

• TITLE: Research on Adaptive Cluster Sampling Method Based on PPS

  AUTHORS: Shaohua Wang, Ting Yang

  KEYWORDS: PPS Adaptive Cluster Sampling, Modified HH Estimation, Modified HT Estimation

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.12 No.5, May 21, 2024

  ABSTRACT: 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.