Research on Adaptive Cluster Sampling Method based on PPS

  • Wang S
  • Yang T
  • Ouyang S
N/ACitations
Citations of this article
6Readers
Mendeley users who have this article in their library.

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.

Cite

CITATION STYLE

APA

Wang, S., Yang, T., & Ouyang, S. (2023). Research on Adaptive Cluster Sampling Method based on PPS. Transactions on Computer Science and Intelligent Systems Research, 2, 73–81. https://doi.org/10.62051/artkb294

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free