Estimating Equations for Removal Data Analysis
Article first published online: 25 MAY 2004
Volume 55, Issue 4, pages 1263–1268, December 1999
How to Cite
Wang, Y.-G. (1999), Estimating Equations for Removal Data Analysis. Biometrics, 55: 1263–1268. doi: 10.1111/j.0006-341X.1999.01263.x
- Issue published online: 25 MAY 2004
- Article first published online: 25 MAY 2004
- Received April 1997. Revised October 1997, April, October 1998. Accepted November 1998.
- Estimating functions;
- Fisher information;
- Removal data
Summary. We consider the problem of estimating a population size from successive catches taken during a removal experiment and propose two estimating functions approaches, the traditional quasi-likelihood (TQL) approach for dependent observations and the conditional quasi-likelihood (CQL) approach using the conditional mean and conditional variance of the catch given previous catches. Asymptotic covariance of the estimates and the relationship between the two methods are derived. Simulation results and application to the catch data from smallmouth bass show that the proposed estimating functions perform better than other existing methods, especially in the presence of overdispersion.