Length 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_lenfit__aggregated_across_time.png
Pearson residuals, comparing across fleets (plot 1 of 3)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit__page1_multi-fleet_comparison.png
Pearson residuals, comparing across fleets (plot 2 of 3)
file: comp_lenfit__page2_multi-fleet_comparison.png
Pearson residuals, comparing across fleets (plot 3 of 3)
file: comp_lenfit__page3_multi-fleet_comparison.png
Length comps, whole catch, CA_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-Ianelli tuning method.
file: comp_lenfit_flt1mkt0_page1.png
Length comps, whole catch, CA_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-Ianelli tuning method. (plot 2 of 2)
file: comp_lenfit_flt1mkt0_page2.png
Pearson residuals, whole catch, CA_TWL (max=15.3) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt1mkt0_page2.png
N-EffN comparison, Length comps, whole catch, CA_TWL
file: comp_lenfit_sampsize_flt1mkt0.png
Mean length for CA_TWL with 95% confidence intervals based on current sample 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 len data from CA_TWL:
1.0009 (0.6583-1.706)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_CA_TWL.png
Length comps, whole catch, OR_TWL (plot 1 of 3).
'N adj.' is the input sample size after data-weighting adjustment. N eff. is the calculated effective sample size used in the McAllister-Ianelli tuning method.
file: comp_lenfit_flt2mkt0_page1.png
Length comps, whole catch, OR_TWL (plot 1 of 3).
'N adj.' is the input sample size after data-weighting adjustment. N eff. is the calculated effective sample size used in the McAllister-Ianelli tuning method. (plot 2 of 3)
file: comp_lenfit_flt2mkt0_page2.png
Length comps, whole catch, OR_TWL (plot 1 of 3).
'N adj.' is the input sample size after data-weighting adjustment. N eff. is the calculated effective sample size used in the McAllister-Ianelli tuning method. (plot 2 of 3) (plot 3 of 3)
file: comp_lenfit_flt2mkt0_page3.png
Pearson residuals, whole catch, OR_TWL (max=7.57) (plot 3 of 3)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt2mkt0_page3.png
N-EffN comparison, Length comps, whole catch, OR_TWL
file: comp_lenfit_sampsize_flt2mkt0.png
Mean length for OR_TWL with 95% confidence intervals based on current sample 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 len data from OR_TWL:
1.003 (0.675-1.7253)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_OR_TWL.png
Length comps, whole catch, WA_TWL (plot 1 of 3).
'N adj.' is the input sample size after data-weighting adjustment. N eff. is the calculated effective sample size used in the McAllister-Ianelli tuning method.
file: comp_lenfit_flt3mkt0_page1.png
Length comps, whole catch, WA_TWL (plot 1 of 3).
'N adj.' is the input sample size after data-weighting adjustment. N eff. is the calculated effective sample size used in the McAllister-Ianelli tuning method. (plot 2 of 3)
file: comp_lenfit_flt3mkt0_page2.png
Length comps, whole catch, WA_TWL (plot 1 of 3).
'N adj.' is the input sample size after data-weighting adjustment. N eff. is the calculated effective sample size used in the McAllister-Ianelli tuning method. (plot 2 of 3) (plot 3 of 3)
file: comp_lenfit_flt3mkt0_page3.png
Pearson residuals, whole catch, WA_TWL (max=6.36) (plot 3 of 3)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt3mkt0_page3.png
N-EffN comparison, Length comps, whole catch, WA_TWL
file: comp_lenfit_sampsize_flt3mkt0.png
Mean length for WA_TWL with 95% confidence intervals based on current sample 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 len data from WA_TWL:
0.9985 (0.7294-1.485)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_WA_TWL.png
Length comps, whole catch, CA_NTWL (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-Ianelli tuning method.
file: comp_lenfit_flt4mkt0_page1.png
Length comps, whole catch, CA_NTWL (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-Ianelli tuning method. (plot 2 of 2)
file: comp_lenfit_flt4mkt0_page2.png
Pearson residuals, whole catch, CA_NTWL (max=4.62) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt4mkt0_page2.png
N-EffN comparison, Length comps, whole catch, CA_NTWL
file: comp_lenfit_sampsize_flt4mkt0.png
Mean length for CA_NTWL with 95% confidence intervals based on current sample 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 len data from CA_NTWL:
0.9985 (0.5749-2.1423)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_CA_NTWL.png
Length comps, whole catch, OR_NTWL.
'N adj.' is the input sample size after data-weighting adjustment. N eff. is the calculated effective sample size used in the McAllister-Ianelli tuning method.
file: comp_lenfit_flt5mkt0.png
Pearson residuals, whole catch, OR_NTWL (max=2.57)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt5mkt0.png
N-EffN comparison, Length comps, whole catch, OR_NTWL
file: comp_lenfit_sampsize_flt5mkt0.png
Mean length for OR_NTWL with 95% confidence intervals based on current sample 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 len data from OR_NTWL:
0.9826 (0.7369-1.8138)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_OR_NTWL.png
Length comps, whole catch, WA_NTWL.
'N adj.' is the input sample size after data-weighting adjustment. N eff. is the calculated effective sample size used in the McAllister-Ianelli tuning method.
file: comp_lenfit_flt6mkt0.png
Pearson residuals, whole catch, WA_NTWL (max=8.63)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt6mkt0.png
N-EffN comparison, Length comps, whole catch, WA_NTWL
file: comp_lenfit_sampsize_flt6mkt0.png
Mean length for WA_NTWL with 95% confidence intervals based on current sample 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 len data from WA_NTWL:
0.9916 (0.6174-3.4867)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_WA_NTWL.png
Length comps, whole catch, CA_REC (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-Ianelli tuning method.
file: comp_lenfit_flt7mkt0_page1.png
Length comps, whole catch, CA_REC (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-Ianelli tuning method. (plot 2 of 2)
file: comp_lenfit_flt7mkt0_page2.png
Pearson residuals, whole catch, CA_REC (max=3.01) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt7mkt0_page2.png
N-EffN comparison, Length comps, whole catch, CA_REC
file: comp_lenfit_sampsize_flt7mkt0.png
Mean length for CA_REC with 95% confidence intervals based on current sample 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 len data from CA_REC:
0.9996 (0.7384-1.5709)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_CA_REC.png
Length comps, whole catch, OR_REC (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-Ianelli tuning method.
file: comp_lenfit_flt8mkt0_page1.png
Length comps, whole catch, OR_REC (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-Ianelli tuning method. (plot 2 of 2)
file: comp_lenfit_flt8mkt0_page2.png
Pearson residuals, whole catch, OR_REC (max=4.03) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt8mkt0_page2.png
N-EffN comparison, Length comps, whole catch, OR_REC
file: comp_lenfit_sampsize_flt8mkt0.png
Mean length for OR_REC with 95% confidence intervals based on current sample 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 len data from OR_REC:
0.9933 (0.5759-2.3623)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_OR_REC.png
Length comps, whole catch, WA_REC (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-Ianelli tuning method.
file: comp_lenfit_flt9mkt0_page1.png
Length comps, whole catch, WA_REC (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-Ianelli tuning method. (plot 2 of 2)
file: comp_lenfit_flt9mkt0_page2.png
Pearson residuals, whole catch, WA_REC (max=4.35) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt9mkt0_page2.png
N-EffN comparison, Length comps, whole catch, WA_REC
file: comp_lenfit_sampsize_flt9mkt0.png
Mean length for WA_REC with 95% confidence intervals based on current sample 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 len data from WA_REC:
1.0011 (0.7057-1.7494)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_WA_REC.png
Length comps, whole catch, OR_ASHOP.
'N adj.' is the input sample size after data-weighting adjustment. N eff. is the calculated effective sample size used in the McAllister-Ianelli tuning method.
file: comp_lenfit_flt11mkt0.png
Pearson residuals, whole catch, OR_ASHOP (max=4.44)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt11mkt0.png
N-EffN comparison, Length comps, whole catch, OR_ASHOP
file: comp_lenfit_sampsize_flt11mkt0.png
Mean length for OR_ASHOP with 95% confidence intervals based on current sample 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 len data from OR_ASHOP:
0.987 (0.7075-1.9221)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_OR_ASHOP.png
Length comps, whole catch, WA_ASHOP.
'N adj.' is the input sample size after data-weighting adjustment. N eff. is the calculated effective sample size used in the McAllister-Ianelli tuning method.
file: comp_lenfit_flt12mkt0.png
Pearson residuals, whole catch, WA_ASHOP (max=2.37)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt12mkt0.png
N-EffN comparison, Length comps, whole catch, WA_ASHOP
file: comp_lenfit_sampsize_flt12mkt0.png
Mean length for WA_ASHOP with 95% confidence intervals based on current sample 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 len data from WA_ASHOP:
0.9914 (0.7097-1.8274)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_WA_ASHOP.png
Length comps, whole catch, WCGBTS.
'N adj.' is the input sample size after data-weighting adjustment. N eff. is the calculated effective sample size used in the McAllister-Ianelli tuning method.
file: comp_lenfit_flt28mkt0.png
Pearson residuals, whole catch, WCGBTS (max=10.33)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt28mkt0.png
N-EffN comparison, Length comps, whole catch, WCGBTS
file: comp_lenfit_sampsize_flt28mkt0.png
Mean length for WCGBTS with 95% confidence intervals based on current sample 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 len data from WCGBTS:
0.9979 (0.569-2.9567)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_WCGBTS.png
Length comps, whole catch, Tri_early.
'N adj.' is the input sample size after data-weighting adjustment. N eff. is the calculated effective sample size used in the McAllister-Ianelli tuning method.
file: comp_lenfit_flt29mkt0.png
Pearson residuals, whole catch, Tri_early (max=2.66)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt29mkt0.png
N-EffN comparison, Length comps, whole catch, Tri_early
file: comp_lenfit_sampsize_flt29mkt0.png
Mean length for Tri_early with 95% confidence intervals based on current sample 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 len data from Tri_early:
1.0013 (0.6232-11.1611)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_Tri_early.png
Length comps, whole catch, Tri_late.
'N adj.' is the input sample size after data-weighting adjustment. N eff. is the calculated effective sample size used in the McAllister-Ianelli tuning method.
file: comp_lenfit_flt30mkt0.png
Pearson residuals, whole catch, Tri_late (max=1.75)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt30mkt0.png
N-EffN comparison, Length comps, whole catch, Tri_late
file: comp_lenfit_sampsize_flt30mkt0.png
Mean length for Tri_late with 95% confidence intervals based on current sample 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 len data from Tri_late:
1.0027 (0.6826-20.4801)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_Tri_late.png
Sex ratios for length comps, whole catch, CA_TWL (plot 1 of 2).
Observed sex ratios (points) with 75% intervals (vertical lines) calculated as a Jeffreys interval based on the adjusted input sample size. The model expectation is shown in the purple line.
file: sexratio_len_flt1mkt0_page1.png
Sex ratios for length comps, whole catch, CA_TWL (plot 1 of 2).
Observed sex ratios (points) with 75% intervals (vertical lines) calculated as a Jeffreys interval based on the adjusted input sample size. The model expectation is shown in the purple line. (plot 2 of 2)
file: sexratio_len_flt1mkt0_page2.png
Sex ratios for length comps, whole catch, OR_TWL (plot 1 of 3).
Observed sex ratios (points) with 75% intervals (vertical lines) calculated as a Jeffreys interval based on the adjusted input sample size. The model expectation is shown in the purple line.
file: sexratio_len_flt2mkt0_page1.png
Sex ratios for length comps, whole catch, OR_TWL (plot 1 of 3).
Observed sex ratios (points) with 75% intervals (vertical lines) calculated as a Jeffreys interval based on the adjusted input sample size. The model expectation is shown in the purple line. (plot 2 of 3)
file: sexratio_len_flt2mkt0_page2.png
Sex ratios for length comps, whole catch, OR_TWL (plot 1 of 3).
Observed sex ratios (points) with 75% intervals (vertical lines) calculated as a Jeffreys interval based on the adjusted input sample size. The model expectation is shown in the purple line. (plot 2 of 3) (plot 3 of 3)
file: sexratio_len_flt2mkt0_page3.png
Sex ratios for length comps, whole catch, WA_TWL (plot 1 of 3).
Observed sex ratios (points) with 75% intervals (vertical lines) calculated as a Jeffreys interval based on the adjusted input sample size. The model expectation is shown in the purple line.
file: sexratio_len_flt3mkt0_page1.png
Sex ratios for length comps, whole catch, WA_TWL (plot 1 of 3).
Observed sex ratios (points) with 75% intervals (vertical lines) calculated as a Jeffreys interval based on the adjusted input sample size. The model expectation is shown in the purple line. (plot 2 of 3)
file: sexratio_len_flt3mkt0_page2.png
Sex ratios for length comps, whole catch, WA_TWL (plot 1 of 3).
Observed sex ratios (points) with 75% intervals (vertical lines) calculated as a Jeffreys interval based on the adjusted input sample size. The model expectation is shown in the purple line. (plot 2 of 3) (plot 3 of 3)
file: sexratio_len_flt3mkt0_page3.png
Sex ratios for length comps, whole catch, CA_NTWL (plot 1 of 2).
Observed sex ratios (points) with 75% intervals (vertical lines) calculated as a Jeffreys interval based on the adjusted input sample size. The model expectation is shown in the purple line.
file: sexratio_len_flt4mkt0_page1.png
Sex ratios for length comps, whole catch, CA_NTWL (plot 1 of 2).
Observed sex ratios (points) with 75% intervals (vertical lines) calculated as a Jeffreys interval based on the adjusted input sample size. The model expectation is shown in the purple line. (plot 2 of 2)
file: sexratio_len_flt4mkt0_page2.png
Sex ratios for length comps, whole catch, OR_NTWL.
Observed sex ratios (points) with 75% intervals (vertical lines) calculated as a Jeffreys interval based on the adjusted input sample size. The model expectation is shown in the purple line.
file: sexratio_len_flt5mkt0.png
Sex ratios for length comps, whole catch, WA_NTWL.
Observed sex ratios (points) with 75% intervals (vertical lines) calculated as a Jeffreys interval based on the adjusted input sample size. The model expectation is shown in the purple line.
file: sexratio_len_flt6mkt0.png
Sex ratios for length comps, whole catch, OR_REC (plot 1 of 2).
Observed sex ratios (points) with 75% intervals (vertical lines) calculated as a Jeffreys interval based on the adjusted input sample size. The model expectation is shown in the purple line.
file: sexratio_len_flt8mkt0_page1.png
Sex ratios for length comps, whole catch, OR_REC (plot 1 of 2).
Observed sex ratios (points) with 75% intervals (vertical lines) calculated as a Jeffreys interval based on the adjusted input sample size. The model expectation is shown in the purple line. (plot 2 of 2)
file: sexratio_len_flt8mkt0_page2.png
Sex ratios for length comps, whole catch, WA_REC (plot 1 of 2).
Observed sex ratios (points) with 75% intervals (vertical lines) calculated as a Jeffreys interval based on the adjusted input sample size. The model expectation is shown in the purple line.
file: sexratio_len_flt9mkt0_page1.png
Sex ratios for length comps, whole catch, WA_REC (plot 1 of 2).
Observed sex ratios (points) with 75% intervals (vertical lines) calculated as a Jeffreys interval based on the adjusted input sample size. The model expectation is shown in the purple line. (plot 2 of 2)
file: sexratio_len_flt9mkt0_page2.png
Sex ratios for length comps, whole catch, OR_ASHOP.
Observed sex ratios (points) with 75% intervals (vertical lines) calculated as a Jeffreys interval based on the adjusted input sample size. The model expectation is shown in the purple line.
file: sexratio_len_flt11mkt0.png
Sex ratios for length comps, whole catch, WA_ASHOP.
Observed sex ratios (points) with 75% intervals (vertical lines) calculated as a Jeffreys interval based on the adjusted input sample size. The model expectation is shown in the purple line.
file: sexratio_len_flt12mkt0.png
Sex ratios for length comps, whole catch, WCGBTS.
Observed sex ratios (points) with 75% intervals (vertical lines) calculated as a Jeffreys interval based on the adjusted input sample size. The model expectation is shown in the purple line.
file: sexratio_len_flt28mkt0.png
Sex ratios for length comps, whole catch, Tri_early.
Observed sex ratios (points) with 75% intervals (vertical lines) calculated as a Jeffreys interval based on the adjusted input sample size. The model expectation is shown in the purple line.
file: sexratio_len_flt29mkt0.png
Sex ratios for length comps, whole catch, Tri_late.
Observed sex ratios (points) with 75% intervals (vertical lines) calculated as a Jeffreys interval based on the adjusted input sample size. The model expectation is shown in the purple line.
file: sexratio_len_flt30mkt0.png