An Empirical Comparison of Alternative Likelihood Formulations for Composition Data, With Application to Cobia and Pacific Hake
Recent research has also suggested improved performance in assessments using the logistic-normal for composition data, specifically when the composition sample size is large.
We evaluated the performance of two Dirichlet-multinomial formulations and the logistic-normal by incorporating them into assessments that differed greatly in sample sizes for composition data: cobia (Rachycentron canadum) and Pacific hake (Merluccius productus). We compared the likelihoods against one another using various model diagnostic criteria common in stock assessments.
Fisch N, Ahrens R, Shertzer K, Camp E 2022. An Empirical Comparison of Alternative Likelihood Formulations for Composition Data, With Application to Cobia and Pacific Hake Canadian Journal of Fisheries and Aquatic Sciences. 79(10): 1745-1764.
https://doi.org/10.1139/cjfas-2022-0036