A flexible maximum likelihood approach for fitting growth curves to tagrecapture data

By G. Laslett, J. Eveson, T. Polacheck. 2002

100 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/fc5f684bb59b142b1c97217fa2630919c23cdfbb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. J. Eveson
2. G. Laslett
3. T. Polacheck
4. H. Murua

In Global and Planetary Change

1. E. Rodríguez-Marín
2. J. Farley
3. M. Juan-Jordá
4. H. Murua
5. J. Neilson
6. J. Eveson
7. G. Laslett
8. T. Polacheck

In Nature and Landscape Conservation

1. E. Rodríguez-Marín
2. J. Farley
3. H. Murua
4. M. Juan-Jordá
5. J. Neilson
6. J. Eveson
7. G. Laslett
8. T. Polacheck

Citations in the corpus

• Fast versus slow growing tuna species: age, growth, and implications for population dynamics and fisheries management (2017, methodology): “…conducted in the 1980s and 1990s supplied substantially more length-increment and length-frequency data, which were analyzed using various growth models including two-stanza models (Hampton 1991; Fournier et al. 1990; Leigh and Hearn 2000; Laslett et al. 2002, 2004; Hearn and Polacheck 2003).”
• An integrated model for growth incorporating tag-recapture, length-frequency, and direct aging data (2004, methodology): “In our application to SBT, we assume that A has a lognormal distribution with mean and standard deviation on the log scale of μ log A and σ log A, respectively; however, a more complex distribution such as a mixture model could be chosen (Laslett et al. 2002).”