Innovative memory-type calibration estimators for better survey accuracy in stratified sampling
Abstract Calibration methods play a vital role in improving the accuracy of parameter estimates by effectively integrating information from various data sources. In the context of population parameter estimation, memory-type statistics—such as the exponentially weighted moving average (EWMA), extend...
| Published in: | Scientific Reports |
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| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-10-01
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| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-17917-y |
