A prediction approach in adaptive sampling

Pal, Sanghamitra; Patra, Dipika

doi:10.1007/s40300-020-00195-1

Cited by 4 publications

(1 citation statement)

References 22 publications

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“…By simplification, we can see that this formula is consistent with (6). The modified HH estimator has good properties, it is an unbiased estimate of the population total [5]. In the initial sampling, the PPS sampling process is independently repeated for n 1 , and the variance of the modified HH estimator can be obtained as:…”

Section: Revised Hh Estimatormentioning

confidence: 78%

Research on Adaptive Cluster Sampling Method Based on PPS

Wang,

Yang

2024

JAMP

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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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Section: Revised Hh Estimatormentioning

confidence: 78%