Estimating survival rates with age-structure data
Links
- More information: Publisher Index Page (via DOI)
- Download citation as: RIS | Dublin Core
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.
Suggested Citation
Udevitz, M.S., Ballachey, B.E., 1998, Estimating survival rates with age-structure data: Journal of Wildlife Management, v. 62, no. 2, p. 779-792, https://doi.org/10.2307/3802355.
| Publication type | Article |
|---|---|
| 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 |