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, 1_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, 1_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, 1_CA_TWL (max=5.12) (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, 1_CA_TWL
file: comp_lenfit_sampsize_flt1mkt0.png
Mean length for 1_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 1_CA_TWL:
1 (0.6497-1.8347)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_1_CA_TWL.png
Length comps, whole catch, 2_CA_NONTWL (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_flt2mkt0_page1.png
Length comps, whole catch, 2_CA_NONTWL (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_flt2mkt0_page2.png
Pearson residuals, whole catch, 2_CA_NONTWL (max=4.02) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt2mkt0_page2.png
N-EffN comparison, Length comps, whole catch, 2_CA_NONTWL
file: comp_lenfit_sampsize_flt2mkt0.png
Mean length for 2_CA_NONTWL 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 2_CA_NONTWL:
0.9998 (0.6523-1.8126)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_2_CA_NONTWL.png
Length comps, whole catch, 3_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_flt3mkt0_page1.png
Length comps, whole catch, 3_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_flt3mkt0_page2.png
Pearson residuals, whole catch, 3_CA_REC (max=5.1) (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, 3_CA_REC
file: comp_lenfit_sampsize_flt3mkt0.png
Mean length for 3_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 3_CA_REC:
1 (0.6785-1.6769)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_3_CA_REC.png
Length comps, whole catch, 4_ORWA_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_flt4mkt0_page1.png
Length comps, whole catch, 4_ORWA_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_flt4mkt0_page2.png
Pearson residuals, whole catch, 4_ORWA_TWL (max=5.09) (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, 4_ORWA_TWL
file: comp_lenfit_sampsize_flt4mkt0.png
Mean length for 4_ORWA_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 4_ORWA_TWL:
1.0003 (0.6661-2.0716)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_4_ORWA_TWL.png
Length comps, whole catch, 5_ORWA_NONTWL (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_flt5mkt0_page1.png
Length comps, whole catch, 5_ORWA_NONTWL (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_flt5mkt0_page2.png
Pearson residuals, whole catch, 5_ORWA_NONTWL (max=2.5) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt5mkt0_page2.png
N-EffN comparison, Length comps, whole catch, 5_ORWA_NONTWL
file: comp_lenfit_sampsize_flt5mkt0.png
Mean length for 5_ORWA_NONTWL 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 5_ORWA_NONTWL:
0.9999 (0.6647-1.8444)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_5_ORWA_NONTWL.png
Length comps, whole catch, 6_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_flt6mkt0_page1.png
Length comps, whole catch, 6_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_flt6mkt0_page2.png
Pearson residuals, whole catch, 6_OR_REC (max=5.19) (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, 6_OR_REC
file: comp_lenfit_sampsize_flt6mkt0.png
Mean length for 6_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 6_OR_REC:
0.9996 (0.7697-1.4758)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_6_OR_REC.png
Length comps, whole catch, 7_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_flt7mkt0_page1.png
Length comps, whole catch, 7_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_flt7mkt0_page2.png
Pearson residuals, whole catch, 7_WA_REC (max=22.07) (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, 7_WA_REC
file: comp_lenfit_sampsize_flt7mkt0.png
Mean length for 7_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 7_WA_REC:
1.0907 (0.8073-1.8223)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_7_WA_REC.png
Length comps, whole catch, 8_CACPFV (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, 8_CACPFV (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, 8_CACPFV (max=7.84) (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, 8_CACPFV
file: comp_lenfit_sampsize_flt8mkt0.png
Mean length for 8_CACPFV 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 8_CACPFV:
1 (0.6251-2.0187)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_8_CACPFV.png
Length comps, whole catch, 9_OR_RECOB.
'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, 9_OR_RECOB (max=4.41)
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, 9_OR_RECOB
file: comp_lenfit_sampsize_flt9mkt0.png
Mean length for 9_OR_RECOB 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 9_OR_RECOB:
0.9999 (0.734-1.8085)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_9_OR_RECOB.png
Length comps, whole catch, 10_TRI_ORWA.
'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, 10_TRI_ORWA (max=5.28)
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, 10_TRI_ORWA
file: comp_lenfit_sampsize_flt10mkt0.png
Mean length for 10_TRI_ORWA 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 10_TRI_ORWA:
0.9998 (0.5098-43.3203)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_10_TRI_ORWA.png
Length comps, whole catch, 11_NWFSC_ORWA.
'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, 11_NWFSC_ORWA (max=2.81)
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, 11_NWFSC_ORWA
file: comp_lenfit_sampsize_flt11mkt0.png
Mean length for 11_NWFSC_ORWA 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 11_NWFSC_ORWA:
1.0001 (0.6072-2.3291)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_11_NWFSC_ORWA.png
Length comps, whole catch, 12_IPHC_ORWA.
'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, 12_IPHC_ORWA (max=2.36)
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, 12_IPHC_ORWA
file: comp_lenfit_sampsize_flt12mkt0.png
Mean length for 12_IPHC_ORWA 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 12_IPHC_ORWA:
1 (0.5895-2.7591)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_12_IPHC_ORWA.png