Estimating survival rates with age-structure data
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Abstract
We developed a general statistical model that provides a comprehensive framework for inference about survival rates based on standing age-structure and ages-at-death data. Previously available estimators are maximum likelihood under the general model, but they use only 1 type of data and require the assumption of a stable age structure and a known population growth rate. We used the general model to derive new survival rate estimators that use both types of data and require only the assumption of a stable age structure or a known population growth rate. Our likelihood-based approach allows use of standard model-selection procedures to test hypotheses about age-structure stability, population growth rates, and age-related patterns in survival. We used this approach to estimate survival rates for female sea otters (Enhydra lutris) in Prince William Sound, Alaska.
Publication type | Article |
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Publication Subtype | Journal Article |
Title | Estimating survival rates with age-structure data |
Series title | Journal of Wildlife Management |
DOI | 10.2307/3802355 |
Volume | 62 |
Issue | 2 |
Year Published | 1998 |
Language | English |
Publisher | Wiley |
Description | 14 p. |
First page | 779 |
Last page | 792 |
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