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Proportionality Adjusted Ratio-Type Calibration Estimators of Population Mean Under Stratified Sampling

Neha Garg et al.

Journal of Modern Applied Statistical Methods2024https://doi.org/10.56801/jmasm.v23.i2.1article
ABDC B
Weight
0.30

Abstract

The estimation accuracy of estimators of finite population parameters in sample surveys can be enhanced by taking advantage of existing auxiliary information using the calibration approach. The present study developed the calibration estimators of population mean utilizing known auxiliary information. The properties of the recommended estimators have been studied. The performance of the suggested estimators has also been investigated with the help of a simulation study and compared with the estimators given by Clement [2] and Khare et al. [11].

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https://doi.org/https://doi.org/10.56801/jmasm.v23.i2.1

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@article{neha2024,
  title        = {{Proportionality Adjusted Ratio-Type Calibration Estimators of Population Mean Under Stratified Sampling}},
  author       = {Neha Garg et al.},
  journal      = {Journal of Modern Applied Statistical Methods},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.56801/jmasm.v23.i2.1},
}

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Evidence weight

0.30

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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