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A general methodology for maximum likelihood inference from band-recovery data

Biometrics

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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.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
A general methodology for maximum likelihood inference from band-recovery data
Series title:
Biometrics
Volume
40
Issue:
3
Year Published:
1984
Language:
English
Contributing office(s):
Patuxent Wildlife Research Center
Description:
739-748
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
First page:
739
Last page:
748
Number of Pages:
10