A general methodology for maximum likelihood inference from band-recovery data
Biometrics
By: M.J. Conroy and B. Kenneth Williams
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Abstract
A numerical procedure is described for obtaining maximum likelihood estimates and associated maximum likelihood inference from band- recovery data. The method is used to illustrate previously developed one-age-class band-recovery models, and is extended to new models, including the analysis with a covariate for survival rates and variable-time-period recovery models. Extensions to R-age-class band- recovery, mark-recapture models, and twice-yearly marking are discussed. A FORTRAN program provides computations for these models.
Suggested Citation
Conroy, M., Williams, B.K., 1984, A general methodology for maximum likelihood inference from band-recovery data: Biometrics, v. 40, no. 3, p. 739-748, https://doi.org/10.2307/2530917.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | A general methodology for maximum likelihood inference from band-recovery data |
| Series title | Biometrics |
| DOI | 10.2307/2530917 |
| Volume | 40 |
| Issue | 3 |
| Year Published | 1984 |
| Language | English |
| Publisher | International Biometric Society |
| Contributing office(s) | Patuxent Wildlife Research Center |
| Description | 10 p. |
| First page | 739 |
| Last page | 748 |