Pearson residuals, whole catch, Commercial_Dead (max=12.66)
file: comp_condAALfit_residsflt1mkt0.png
Pearson residuals, whole catch, Commercial_Dead (max=12.66)
file: comp_condAALfit_residsflt1mkt0.png
Pearson residuals, whole catch, Rec_CPFV (max=6.41)
file: comp_condAALfit_residsflt3mkt0.png
Pearson residuals, whole catch, Rec_PR (max=15.42)
file: comp_condAALfit_residsflt4mkt0.png
Pearson residuals, whole catch, CCFRP (max=10.85)
file: comp_condAALfit_residsflt5mkt0.png
Pearson residuals, whole catch, Growth (max=34.49) (plot 1 of 4)
file: comp_condAALfit_residsflt9mkt0_page1.png
Pearson residuals, whole catch, Growth (max=34.49) (plot 2 of 4)
file: comp_condAALfit_residsflt9mkt0_page2.png
Pearson residuals, whole catch, Growth (max=34.49) (plot 3 of 4)
file: comp_condAALfit_residsflt9mkt0_page3.png
Pearson residuals, whole catch, Growth (max=34.49) (plot 4 of 4)
file: comp_condAALfit_residsflt9mkt0_page4.png
Mean age from conditional data (aggregated across length bins) for Commercial_Dead with 95% confidence intervals based on current samples sizes.
Francis data weighting method TA1.8: thinner intervals (with capped ends) show result of further adjusting sample sizes based on suggested multiplier (with 95% interval) for conditional age-at-length data from Commercial_Dead:
0.9942 (0.7215-10.4062)
For more info, see Francis (2011) and Punt (2017).
file: comp_condAALfit_data_weighting_TA1.8_condAgeCommercial_Dead.png
Conditional AAL plot, whole catch, Commercial_Dead
These plots show mean age and std. dev. in conditional A@L.
Left plots are mean A@L by size-class (obs. and exp.) with 90% CIs based on adding 1.64 SE of mean to the data.
Right plots in each pair are SE of mean A@L (obs. and exp.) with 90% CIs based on the chi-square distribution.
file: comp_condAALfit_Andre_plotsflt1mkt0.png
Mean age from conditional data (aggregated across length bins) for Rec_CPFV with 95% confidence intervals based on current samples sizes.
Francis data weighting method TA1.8: too few points to calculate adjustments.
For more info, see Francis (2011) and Punt (2017).
file: comp_condAALfit_data_weighting_TA1.8_condAgeRec_CPFV.png
Conditional AAL plot, whole catch, Rec_CPFV
These plots show mean age and std. dev. in conditional A@L.
Left plots are mean A@L by size-class (obs. and exp.) with 90% CIs based on adding 1.64 SE of mean to the data.
Right plots in each pair are SE of mean A@L (obs. and exp.) with 90% CIs based on the chi-square distribution.
file: comp_condAALfit_Andre_plotsflt3mkt0.png
Mean age from conditional data (aggregated across length bins) for Rec_PR with 95% confidence intervals based on current samples sizes.
Francis data weighting method TA1.8: too few points to calculate adjustments.
For more info, see Francis (2011) and Punt (2017).
file: comp_condAALfit_data_weighting_TA1.8_condAgeRec_PR.png
Conditional AAL plot, whole catch, Rec_PR
These plots show mean age and std. dev. in conditional A@L.
Left plots are mean A@L by size-class (obs. and exp.) with 90% CIs based on adding 1.64 SE of mean to the data.
Right plots in each pair are SE of mean A@L (obs. and exp.) with 90% CIs based on the chi-square distribution.
file: comp_condAALfit_Andre_plotsflt4mkt0.png
Mean age from conditional data (aggregated across length bins) for CCFRP with 95% confidence intervals based on current samples sizes.
Francis data weighting method TA1.8: thinner intervals (with capped ends) show result of further adjusting sample sizes based on suggested multiplier (with 95% interval) for conditional age-at-length data from CCFRP:
0.9957 (0.842-Inf)
For more info, see Francis (2011) and Punt (2017).
file: comp_condAALfit_data_weighting_TA1.8_condAgeCCFRP.png
Conditional AAL plot, whole catch, CCFRP
These plots show mean age and std. dev. in conditional A@L.
Left plots are mean A@L by size-class (obs. and exp.) with 90% CIs based on adding 1.64 SE of mean to the data.
Right plots in each pair are SE of mean A@L (obs. and exp.) with 90% CIs based on the chi-square distribution.
file: comp_condAALfit_Andre_plotsflt5mkt0.png
Mean age from conditional data (aggregated across length bins) for Growth with 95% confidence intervals based on current samples sizes.
Francis data weighting method TA1.8: thinner intervals (with capped ends) show result of further adjusting sample sizes based on suggested multiplier (with 95% interval) for conditional age-at-length data from Growth:
0.9828 (0.6574-2.0104)
For more info, see Francis (2011) and Punt (2017).
file: comp_condAALfit_data_weighting_TA1.8_condAgeGrowth.png
Conditional AAL plot, whole catch, Growth (plot 1 of 6)
These plots show mean age and std. dev. in conditional A@L.
Left plots are mean A@L by size-class (obs. and exp.) with 90% CIs based on adding 1.64 SE of mean to the data.
Right plots in each pair are SE of mean A@L (obs. and exp.) with 90% CIs based on the chi-square distribution.
file: comp_condAALfit_Andre_plotsflt9mkt0_page1.png
Conditional AAL plot, whole catch, Growth (plot 2 of 6)
file: comp_condAALfit_Andre_plotsflt9mkt0_page2.png
Conditional AAL plot, whole catch, Growth (plot 3 of 6)
file: comp_condAALfit_Andre_plotsflt9mkt0_page3.png
Conditional AAL plot, whole catch, Growth (plot 4 of 6)
file: comp_condAALfit_Andre_plotsflt9mkt0_page4.png
Conditional AAL plot, whole catch, Growth (plot 5 of 6)
file: comp_condAALfit_Andre_plotsflt9mkt0_page5.png
Conditional AAL plot, whole catch, Growth (plot 6 of 6)
file: comp_condAALfit_Andre_plotsflt9mkt0_page6.png