| Автор | CASTLEDINE, B. J. |
| Дата выпуска | 1981 |
| dc.description | This paper considers from a Bayesian viewpoint inferences about the size of a closed animal population from data obtained by a multiple-recapture sampling scheme. The method developed enables prior information about the population size and the catch probabilities to be utilized to produce considerable improvements in certain cases on ordinary maximum likelihood methods. Several ways of expressing such prior information are explored and a practical example of the uses of these ways is given. The main result of the paper is an approximation to the posterior distribution of sample size that exhibits the contributions made by the likelihood and the prior ideas. |
| Формат | application.pdf |
| Издатель | Oxford University Press |
| Копирайт | © 1981 Biometrika Trust |
| Тема | Bayesian inference |
| Тема | Closed population |
| Тема | Estimation of population size |
| Тема | Exchangeable catch probabilities |
| Тема | Multiple-recapture sampling |
| Тема | Articles |
| Название | A Bayesian analysis of multiple-recapture sampling for a closed population |
| Тип | research-article |
| Electronic ISSN | 1464-3510 |
| Print ISSN | 0006-3444 |
| Журнал | Biometrika |
| Том | 68 |
| Первая страница | 197 |
| Последняя страница | 210 |
| Выпуск | 1 |
