方法对比
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| 捕获-再捕获种群估计× | Fay-Herriot模型（小区域估计）× | |
|---|---|---|
| 领域 | 调查方法论 | 调查方法论 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1978 | 1979 |
| 提出者≠ | Otis, Burnham, White & Anderson | Robert Fay & Roger Herriot |
| 类型≠ | Probabilistic population size estimator | Model-based survey estimator |
| 开创性文献≠ | Otis, D. L., Burnham, K. P., White, G. C., & Anderson, D. R. (1978). Statistical inference from capture data on closed animal populations. Wildlife Monographs, 62, 3–135. link ↗ | Fay, R. E., & Herriot, R. A. (1979). Estimates of income for small places: An application of James-Stein procedures to census data. Journal of the American Statistical Association, 74(366), 269–277. DOI ↗ |
| 别名 | Mark-Recapture, Tag-Recapture, Mark-Release-Recapture, İşaretle-Yeniden Yakala | SAE, Model-Based Small Area Estimation, Area-Level Model, Küçük Alan Tahmini |
| 相关 | 2 | 2 |
| 摘要≠ | Capture-recapture (also known as mark-recapture) is a statistical method for estimating the size of an unknown population by sampling it twice and tracking which individuals appear in both samples. Formally systematized for closed animal populations by Otis, Burnham, White, and Anderson in their landmark 1978 Wildlife Monographs paper, the method extends naturally to human populations, epidemiology, and incomplete administrative records. | Small Area Estimation (SAE) refers to statistical techniques that produce reliable estimates for subpopulations — geographical regions, demographic groups, or administrative units — where direct survey samples are too sparse to yield acceptable precision. The Fay-Herriot model, introduced by Robert Fay and Roger Herriot in 1979, is the canonical area-level SAE model. It supplements weak direct survey estimates with auxiliary covariate information through an empirical Bayes or BLUP framework, substantially reducing mean squared error for small domains. |
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