
Pearson residuals, whole catch, Comm_nonTwl_dead (max=6.25) (plot 1 of 2)
file: comp_condAALfit_residsflt1mkt0_page1.png

Pearson residuals, whole catch, Comm_nonTwl_dead (max=6.25) (plot 2 of 2)
file: comp_condAALfit_residsflt1mkt0_page2.png

Pearson residuals, whole catch, Comm_Trawl (max=26.14) (plot 1 of 2)
file: comp_condAALfit_residsflt3mkt0_page1.png

Pearson residuals, whole catch, Comm_Trawl (max=26.14) (plot 2 of 2)
file: comp_condAALfit_residsflt3mkt0_page2.png

Pearson residuals, whole catch, Rec_PC_North (max=4.22)
file: comp_condAALfit_residsflt5mkt0.png

Pearson residuals, whole catch, Rec_PR_North (max=19.21)
file: comp_condAALfit_residsflt6mkt0.png

Pearson residuals, whole catch, CCFRP (max=7.8)
file: comp_condAALfit_residsflt8mkt0.png

Pearson residuals, whole catch, Abrams_Research (max=8.3)
file: comp_condAALfit_residsflt11mkt0.png

Mean age from conditional data (aggregated across length bins) for Comm_nonTwl_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 Comm_nonTwl_dead:
1.0021 (0.4485-11.113)
For more info, see Francis (2011) and Punt (2017).
file: comp_condAALfit_data_weighting_TA1.8_condAgeComm_nonTwl_dead.png

Conditional AAL plot, whole catch, Comm_nonTwl_dead (plot 1 of 3)
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_page1.png

Conditional AAL plot, whole catch, Comm_nonTwl_dead (plot 2 of 3)
file: comp_condAALfit_Andre_plotsflt1mkt0_page2.png

Conditional AAL plot, whole catch, Comm_nonTwl_dead (plot 3 of 3)
file: comp_condAALfit_Andre_plotsflt1mkt0_page3.png

Mean age from conditional data (aggregated across length bins) for Comm_Trawl 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 Comm_Trawl:
0.9956 (0.5454-5.9187)
For more info, see Francis (2011) and Punt (2017).
file: comp_condAALfit_data_weighting_TA1.8_condAgeComm_Trawl.png

Conditional AAL plot, whole catch, Comm_Trawl (plot 1 of 3)
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_page1.png

Conditional AAL plot, whole catch, Comm_Trawl (plot 2 of 3)
file: comp_condAALfit_Andre_plotsflt3mkt0_page2.png

Conditional AAL plot, whole catch, Comm_Trawl (plot 3 of 3)
file: comp_condAALfit_Andre_plotsflt3mkt0_page3.png

Mean age from conditional data (aggregated across length bins) for Rec_PC_North 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 Rec_PC_North:
1.0106 (1.0106-Inf)
For more info, see Francis (2011) and Punt (2017).
file: comp_condAALfit_data_weighting_TA1.8_condAgeRec_PC_North.png

Conditional AAL plot, whole catch, Rec_PC_North
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 Rec_PR_North 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_North.png

Conditional AAL plot, whole catch, Rec_PR_North
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_plotsflt6mkt0.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: too few points to calculate adjustments.
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_plotsflt8mkt0.png

Mean age from conditional data (aggregated across length bins) for Abrams_Research 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 Abrams_Research:
1.0064 (1.0064-Inf)
For more info, see Francis (2011) and Punt (2017).
file: comp_condAALfit_data_weighting_TA1.8_condAgeAbrams_Research.png

Conditional AAL plot, whole catch, Abrams_Research
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_plotsflt11mkt0.png