Improving Shepherd's Length Composition Analysis (SLCA) method for growth parameter estimations
Shepherd's "weekly parametric" method for estimating the parameter L sub( infinity ) and K of the von Bertalanffy growth function from length-frequency data often fails to converge, and usually overestimates K. It is shown that this is due to overcounting of the frequencies associated with large, slow growing fish, and that both of these problems can be completely overcome by a simple change in the way the scoring function is formulated.
Saved in:
| Main Authors: | , |
|---|---|
| Format: | article biblioteca |
| Language: | English |
| Published: |
1995
|
| Subjects: | Fisheries, Length, Frequency analysis, Methodology, Growth, Approximation, Fish, Shepherd's Length Composition Analysis, |
| Online Access: | http://hdl.handle.net/1834/26030 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Shepherd's "weekly parametric" method for estimating the parameter L sub( infinity ) and K of the von Bertalanffy growth function from length-frequency data often fails to converge, and usually overestimates K. It is shown that this is due to overcounting of the frequencies associated with large, slow growing fish, and that both of these problems can be completely overcome by a simple change in the way the scoring function is formulated. |
|---|