Pearson residuals, whole catch, RecNorth (max=5.99)
file: comp_condAALfit_residsflt2mkt0.png
Pearson residuals, whole catch, RecNorth (max=5.99)
file: comp_condAALfit_residsflt2mkt0.png
Pearson residuals, whole catch, CCFRP (max=3.22)
file: comp_condAALfit_residsflt7mkt0.png
Pearson residuals, whole catch, Dummy1 (max=10.36)
file: comp_condAALfit_residsflt9mkt0.png
Mean age from conditional data (aggregated across length bins) for RecNorth 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 RecNorth:
0.9098 (0.5632-3.5175)
For more info, see
Francis, R.I.C.C. (2011). Data weighting in statistical fisheries stock assessment models. Can. J. Fish. Aquat. Sci. 68: 1124-1138.
Conditional AAL plot, whole catch, RecNorth (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 pred.) 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 pred.) with 90% CIs based on the chi-square distribution.
file: comp_condAALfit_Andre_plotsflt2mkt0_page1.png
Conditional AAL plot, whole catch, RecNorth (plot 2 of 3)
file: comp_condAALfit_Andre_plotsflt2mkt0_page2.png
Conditional AAL plot, whole catch, RecNorth (plot 3 of 3)
file: comp_condAALfit_Andre_plotsflt2mkt0_page3.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:
0.8252 (0.5083-3.4572)
For more info, see
Francis, R.I.C.C. (2011). Data weighting in statistical fisheries stock assessment models. Can. J. Fish. Aquat. Sci. 68: 1124-1138.
Conditional AAL plot, whole catch, CCFRP (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 pred.) 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 pred.) with 90% CIs based on the chi-square distribution.
file: comp_condAALfit_Andre_plotsflt7mkt0_page1.png
Conditional AAL plot, whole catch, CCFRP (plot 2 of 3)
file: comp_condAALfit_Andre_plotsflt7mkt0_page2.png
Conditional AAL plot, whole catch, CCFRP (plot 3 of 3)
file: comp_condAALfit_Andre_plotsflt7mkt0_page3.png
Mean age from conditional data (aggregated across length bins) for Dummy1 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 Dummy1:
0.9148 (0.4804-4.3753)
For more info, see
Francis, R.I.C.C. (2011). Data weighting in statistical fisheries stock assessment models. Can. J. Fish. Aquat. Sci. 68: 1124-1138.
Conditional AAL plot, whole catch, Dummy1 (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 pred.) 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 pred.) with 90% CIs based on the chi-square distribution.
file: comp_condAALfit_Andre_plotsflt9mkt0_page1.png
Conditional AAL plot, whole catch, Dummy1 (plot 2 of 5)
file: comp_condAALfit_Andre_plotsflt9mkt0_page2.png
Conditional AAL plot, whole catch, Dummy1 (plot 3 of 5)
file: comp_condAALfit_Andre_plotsflt9mkt0_page3.png
Conditional AAL plot, whole catch, Dummy1 (plot 4 of 5)
file: comp_condAALfit_Andre_plotsflt9mkt0_page4.png
Conditional AAL plot, whole catch, Dummy1 (plot 5 of 5)
file: comp_condAALfit_Andre_plotsflt9mkt0_page5.png