Inclusion of ageing error and growth variability using a bootstrap estimation of age composition and conditional age-at-length input sample size for fisheries stock assessment models

Author:

Hulson Peter-John F.,Williams Benjamin C.

Publisher

Elsevier BV

Subject

Aquatic Science

Reference37 articles.

1. A general theory of age-length keys: combining the forward and inverse keys to estimate age composition from incomplete data;Ailloud;ICES J. Mar. Sci.,2019

2. Barbeaux, S.J., Barnett, L., Connor, J., Nielson, J., Shotwell, S.K., Siddon, E., and Spies, I. 2022. Assessment of the Pacific cod stock in the Eastern Bering Sea. In Stock Assessment and Fishery Evaluation Report for the Groundfish Resources of the Bering Sea and Aleutian Islands. North Pacific Fishery Management Council, 1007 West 3rd Ave., Suite 400, L92 Building, 4th floor, Anchorage, AK 99501.

3. Estimating an ageing error matrix for Patagonian toothfish (Dissostichus eleginoides) otoliths using between-reader integer errors, readability scores, and continuation ratio models;Candy;Fish. Res.,2012

4. R. Core Team. 2022. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. Available from https://www.R-project.org/.

5. Data weighting in statistical fisheries stock assessment models. Estimating an ageing error matrix for Patagonian toothfish (Dissostichus eleginoides) otoliths using between-reader integer errors, readability scores, and continuation ratio models;Francis;Can. J. Fish. Aquat. Sci.,2011

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