Non-parametric calibration estimation of distribution function under stratified random sampling
We introduced an innovative kernel-based nonparametric estimator for the cumulative distribution function (CDF) in finite populations, addressing the critical need to evaluate the proportion of values in a target variable that are less than or equal to specific thresholds. By leveraging auxiliary in...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2025-02-01
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| Series: | AIMS Mathematics |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/math.2025205 |
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