Σύγκριση μεθόδων

	Εκτίμηση Πληθυσμού με Μέθοδο Αποτύπωσης-Επαν-αποτύπωσης	Εκτίμηση Μικρών Περιοχών (Μοντέλο Fay-Herriot)
Πεδίο	Μεθοδολογία Επισκοπήσεων	Μεθοδολογία Επισκοπήσεων
Οικογένεια	Regression model	Regression model
Έτος προέλευσης	1978	1979
Δημιουργός	Otis, Burnham, White & Anderson	Robert Fay & Roger Herriot
Τύπος	Probabilistic population size estimator	Model-based survey estimator
Θεμελιώδης πηγή	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.	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.
Εναλλακτικές ονομασίες	Mark-Recapture, Tag-Recapture, Mark-Release-Recapture, İşaretle-Yeniden Yakala	SAE, Model-Based Small Area Estimation, Area-Level Model, Küçük Alan Tahmini
Συναφείς	2	2
Σύνοψη	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.