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 2)
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 2)
file: comp_lenfit__page2_multi-fleet_comparison.png
Length comps, whole catch, NoCA_HKL (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, NoCA_HKL (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, NoCA_HKL (max=12.32) (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, NoCA_HKL
file: comp_lenfit_sampsize_flt1mkt0.png
Mean length for NoCA_HKL 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 NoCA_HKL:
1.0018 (0.6427-1.8357)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_NoCA_HKL.png
Length comps, whole catch, SoCA_HKL.
'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.png
Pearson residuals, whole catch, SoCA_HKL (max=48.62)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt2mkt0.png
N-EffN comparison, Length comps, whole catch, SoCA_HKL
file: comp_lenfit_sampsize_flt2mkt0.png
Mean length for SoCA_HKL 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 SoCA_HKL:
0.9997 (0.7534-1.7729)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_SoCA_HKL.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_flt3mkt0_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_flt3mkt0_page2.png
Pearson residuals, whole catch, CA_TWL (max=49.87) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt3mkt0_page2.png
N-EffN comparison, Length comps, whole catch, CA_TWL
file: comp_lenfit_sampsize_flt3mkt0.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:
1.0005 (0.6969-1.6618)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_CA_TWL.png
Length comps, whole catch, OR_WA_Comm.
'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.png
Pearson residuals, whole catch, OR_WA_Comm (max=5.58)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt4mkt0.png
N-EffN comparison, Length comps, whole catch, OR_WA_Comm
file: comp_lenfit_sampsize_flt4mkt0.png
Mean length for OR_WA_Comm 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_WA_Comm:
0.9988 (0.5922-3.417)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_OR_WA_Comm.png
Length comps, whole catch, CA_NET.
'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, CA_NET (max=14.3)
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, CA_NET
file: comp_lenfit_sampsize_flt5mkt0.png
Mean length for CA_NET 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_NET:
0.9996 (0.5762-2.7078)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_CA_NET.png
Length comps, whole catch, NoCA_OR_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_flt6mkt0_page1.png
Length comps, whole catch, NoCA_OR_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_flt6mkt0_page2.png
Pearson residuals, whole catch, NoCA_OR_WA_Rec (max=40.06) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt6mkt0_page2.png
N-EffN comparison, Length comps, whole catch, NoCA_OR_WA_Rec
file: comp_lenfit_sampsize_flt6mkt0.png
Mean length for NoCA_OR_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 NoCA_OR_WA_Rec:
1.0016 (0.7282-1.6668)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_NoCA_OR_WA_Rec.png
Length comps, whole catch, SoCA_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, SoCA_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, SoCA_Rec (max=10.61) (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, SoCA_Rec
file: comp_lenfit_sampsize_flt7mkt0.png
Mean length for SoCA_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 SoCA_Rec:
0.9997 (0.6243-1.8678)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_SoCA_Rec.png
Length comps, whole catch, TWL_discard.
'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.png
Pearson residuals, whole catch, TWL_discard (max=2.25)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt8mkt0.png
N-EffN comparison, Length comps, whole catch, TWL_discard
file: comp_lenfit_sampsize_flt8mkt0.png
Mean length for TWL_discard 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 TWL_discard:
1.0003 (0.6427-3.3466)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_TWL_discard.png
Length comps, whole catch, WCGBT_Survey.
'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.png
Pearson residuals, whole catch, WCGBT_Survey (max=113.68)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt9mkt0.png
N-EffN comparison, Length comps, whole catch, WCGBT_Survey
file: comp_lenfit_sampsize_flt9mkt0.png
Mean length for WCGBT_Survey 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 WCGBT_Survey:
1.003 (0.6234-2.2527)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_WCGBT_Survey.png
Length comps, whole catch, Triennial_Survey.
'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_flt10mkt0.png
Pearson residuals, whole catch, Triennial_Survey (max=3.19)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt10mkt0.png
N-EffN comparison, Length comps, whole catch, Triennial_Survey
file: comp_lenfit_sampsize_flt10mkt0.png
Mean length for Triennial_Survey 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 Triennial_Survey:
1.0007 (0.6898-4.013)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_Triennial_Survey.png
Sex ratios for length comps, whole catch, NoCA_HKL (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, NoCA_HKL (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, 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_flt3mkt0_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_flt3mkt0_page2.png
Sex ratios for length comps, whole catch, OR_WA_Comm.
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.png
Sex ratios for length comps, whole catch, CA_NET.
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, WCGBT_Survey.
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.png
Sex ratios for length comps, whole catch, Triennial_Survey.
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_flt10mkt0.png