Using effort information with change-in-ratio data for population estimation
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Abstract
Most change-in-ratio (CIR) methods for estimating fish and wildlife population sizes have been based only on assumptions about how encounter probabilities vary among population subclasses. When information on sampling effort is available, it is also possible to derive CIR estimators based on assumptions about how encounter probabilities vary over time. This paper presents a generalization of previous CIR models that allows explicit consideration of a range of assumptions about the variation of encounter probabilities among subclasses and over time. Explicit estimators are derived under this model for specific sets of assumptions about the encounter probabilities. Numerical methods are presented for obtaining estimators under the full range of possible assumptions. Likelihood ratio tests for these assumptions are described. Emphasis is on obtaining estimators based on assumptions about variation of encounter probabilities over time.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Using effort information with change-in-ratio data for population estimation |
| Series title | Biometrics |
| DOI | 10.2307/2532935 |
| Volume | 51 |
| Issue | 2 |
| Year Published | 1995 |
| Language | English |
| Publisher | International Biometric Society |
| Contributing office(s) | Alaska Science Center, Alaska Science Center Biology MFEB |
| Description | 11 p. |
| First page | 471 |
| Last page | 481 |
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