Outline
b.prior = c(1, 0.3, 1970, “ffmsy”) where 1970 is e.g. the start year
then just set psi = c(0.2,3
- The method: i.e. examples for 3 stocks where we compare JABBAZ to
JABBA-COM and JABBA. We can do this using TSS & AUC
- Risk Equivalence: the probability of a stock being depleted below a
limit reference point or not being maintained at a target reference
point, irrespective of the stock assessment method, the amount of data
and knowledge available. I.e. ideally all methods should provide the
same point estimates of F/FMSY & B/BMSY, only the CIs should change.
So to have a 95% P of B>Blim then you must reduce yield. So there is
value in information.
Condition Operating Model on life histories
Length frequency distribution

Figure 1. Time series, with MSY reference
points.

Figure 2 Length data
Length based indicator

Figure 3. Comparison of lenght based indicatotrs
with F.
True skill score and Area under the ROC curve
save(lhat,om,eq,lbi,lfd,lhs,file="/home/laurence-kell/Desktop/tmp/t.RData")

Figure 4. True skill score

Figure 5. Area under the ROC curve
priors
Estimate Z


Figure 6.
><> jbplot_ppist() - prior and posterior distributions <><


Figure 7.

Figure 8.


Figure 9.