
Age comps, retained, FIX (plot 1 of 2).
'N adj.' is the input sample size after data-weighting adjustment. N eff. is the calculated effective sample size used in the McAllister-Iannelli tuning method.
file: comp_agefit_flt1mkt2_page1.png

Age comps, retained, FIX (plot 2 of 2)
file: comp_agefit_flt1mkt2_page2.png

Pearson residuals, retained, FIX (max=5.41) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_agefit_residsflt1mkt2_page2.png

N-EffN comparison, Age comps, retained, FIX
file: comp_agefit_sampsize_flt1mkt2.png

Mean age for FIX 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 age data from FIX:
0.2961 (0.1634-0.8364)
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. https://doi.org/10.1139/f2011-025

Age comps, retained, TWL (plot 1 of 2).
'N adj.' is the input sample size after data-weighting adjustment. N eff. is the calculated effective sample size used in the McAllister-Iannelli tuning method.
file: comp_agefit_flt3mkt2_page1.png

Age comps, retained, TWL (plot 2 of 2)
file: comp_agefit_flt3mkt2_page2.png

Pearson residuals, retained, TWL (max=4.36) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_agefit_residsflt3mkt2_page2.png

N-EffN comparison, Age comps, retained, TWL
file: comp_agefit_sampsize_flt3mkt2.png

Mean age for TWL 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 age data from TWL:
0.516 (0.3087-1.189)
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. https://doi.org/10.1139/f2011-025

Age comps, whole catch, AKSHLF.
'N adj.' is the input sample size after data-weighting adjustment. N eff. is the calculated effective sample size used in the McAllister-Iannelli tuning method.
file: comp_agefit_flt5mkt0.png

Pearson residuals, whole catch, AKSHLF (max=3.46)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_agefit_residsflt5mkt0.png

N-EffN comparison, Age comps, whole catch, AKSHLF
file: comp_agefit_sampsize_flt5mkt0.png

Mean age for AKSHLF 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 age data from AKSHLF:
35.3402 (24.715-190.677)
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. https://doi.org/10.1139/f2011-025

Age comps, whole catch, AKSLP.
'N adj.' is the input sample size after data-weighting adjustment. N eff. is the calculated effective sample size used in the McAllister-Iannelli tuning method.
file: comp_agefit_flt6mkt0.png

Pearson residuals, whole catch, AKSLP (max=4.72)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_agefit_residsflt6mkt0.png

N-EffN comparison, Age comps, whole catch, AKSLP
file: comp_agefit_sampsize_flt6mkt0.png

Mean age for AKSLP 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 age data from AKSLP:
0.9674 (0.6538-227.5578)
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. https://doi.org/10.1139/f2011-025

Age comps, whole catch, NWSLP.
'N adj.' is the input sample size after data-weighting adjustment. N eff. is the calculated effective sample size used in the McAllister-Iannelli tuning method.
file: comp_agefit_flt7mkt0.png

Pearson residuals, whole catch, NWSLP (max=3.43)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_agefit_residsflt7mkt0.png

N-EffN comparison, Age comps, whole catch, NWSLP
file: comp_agefit_sampsize_flt7mkt0.png

Mean age for NWSLP 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 age data from NWSLP:
0.4104 (0.2236-7.5611)
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. https://doi.org/10.1139/f2011-025

Age comps, aggregated across time by fleet.
Labels 'retained' and 'discard' indicate discarded or retained sampled for each fleet. Panels without this designation represent the whole catch.
file: comp_agefit__aggregated_across_time.png

Pearson residuals, comparing across fleets (plot 1 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_agefit__page1_multi-fleet_comparison.png

Pearson residuals, comparing across fleets (plot 2 of 2)
file: comp_agefit__page2_multi-fleet_comparison.png