Pearson residuals, whole catch, WCGBTS (max=9.45) (plot 1 of 3)
file: comp_condAALfit_residsflt28mkt0_page1.png
Pearson residuals, whole catch, WCGBTS (max=9.45) (plot 2 of 3)
file: comp_condAALfit_residsflt28mkt0_page2.png
Pearson residuals, whole catch, WCGBTS (max=9.45) (plot 3 of 3)
file: comp_condAALfit_residsflt28mkt0_page3.png
Pearson residuals, whole catch, Tri_early (max=5.4)
file: comp_condAALfit_residsflt29mkt0.png
Pearson residuals, whole catch, Tri_late (max=7.21)
file: comp_condAALfit_residsflt30mkt0.png
Mean age from conditional data (aggregated across length bins) for WCGBTS 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 WCGBTS:
1.0064 (0.6732-2.0608)
For more info, see Francis (2011) and Punt (2017).
file: comp_condAALfit_data_weighting_TA1.8_condAgeWCGBTS.png
Conditional AAL plot, whole catch, WCGBTS (plot 1 of 5)
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_plotsflt28mkt0_page1.png
Conditional AAL plot, whole catch, WCGBTS (plot 2 of 5)
file: comp_condAALfit_Andre_plotsflt28mkt0_page2.png
Conditional AAL plot, whole catch, WCGBTS (plot 3 of 5)
file: comp_condAALfit_Andre_plotsflt28mkt0_page3.png
Conditional AAL plot, whole catch, WCGBTS (plot 4 of 5)
file: comp_condAALfit_Andre_plotsflt28mkt0_page4.png
Conditional AAL plot, whole catch, WCGBTS (plot 5 of 5)
file: comp_condAALfit_Andre_plotsflt28mkt0_page5.png
Mean age from conditional data (aggregated across length bins) for Tri_early 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 Tri_early:
0.9975 (0.5486-47.2217)
For more info, see Francis (2011) and Punt (2017).
file: comp_condAALfit_data_weighting_TA1.8_condAgeTri_early.png
Conditional AAL plot, whole catch, Tri_early (plot 1 of 2)
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_plotsflt29mkt0_page1.png
Conditional AAL plot, whole catch, Tri_early (plot 2 of 2)
file: comp_condAALfit_Andre_plotsflt29mkt0_page2.png
Mean age from conditional data (aggregated across length bins) for Tri_late 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 Tri_late:
0.9991 (0.5902-34.2227)
For more info, see Francis (2011) and Punt (2017).
file: comp_condAALfit_data_weighting_TA1.8_condAgeTri_late.png
Conditional AAL plot, whole catch, Tri_late
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_plotsflt30mkt0.png