A simulation study of impacts of error structure on modelling stock-recruitment data using generalized linear models
Skeena Salmon Program Error Structure, Linear Models, Methods, Modelling, stock assessment, Stock-Recruitment RelationshipsAbstract Stock-recruitment (S-R) models are commonly fitted to S-R data with a least-squares method. Errors in modeling are usually assumed to be normal or lognormal, regardless of whether such an assumption is realistic. A Monte Carlo simulation…
Incorporating uncertainty into area under the curve and peak count salmon escapement estimation
Skeena Salmon Program Area Under The Curve, Escapement Estimates, Methods, Peak Count Estimation, stock assessmentAbstract Uncertainty can be incorporated into area-under-the-curve (AUC) and peak count estimates of salmon escapement by conducting replicate fish counts and developing independent escapement estimates over several years. We describe a bootstrap…