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Abstract
Using a nesting model proposed by Mayfield we show that the estimator he proposes is a maximum likelihood estimator (m.l.e.). M.l.e. theory allows us to calculate the asymptotic distribution of this estimator, and we propose an estimator of the asymptotic variance. Using these estimators we give approximate confidence intervals and tests of significance for daily survival. Monte Carlo simulation results show the performance of our estimators and tests under many sets of conditions. A traditional estimator of nesting success is shown to be quite inferior to the Mayfield estimator. We give sample sizes required for a given accuracy under several sets of conditions.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | The Mayfield method of estimating nesting success: A model, estimators and simulation results |
| Series title | The Wilson Bulletin |
| Volume | 93 |
| Issue | 1 |
| Year Published | 1981 |
| Language | English |
| Contributing office(s) | Patuxent Wildlife Research Center |
| Description | 42-53 |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | Wilson Bulletin |
| First page | 42 |
| Last page | 53 |
| Google Analytic Metrics | Metrics page |