SS Output

LenComp

Length comps, whole catch, A1-LL-n.

'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_lenfit_flt1mkt0.png

Pearson residuals, whole catch, A1-LL-n (max=1.05)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt1mkt0.png

N-EffN comparison, Length comps, whole catch, A1-LL-n
file: comp_lenfit_sampsize_flt1mkt0.png

Mean length for A1-LL-n 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 len data from A1-LL-n:
10.0896 (6.4766-55.4179)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_A1-LL-n.png

Length comps, whole catch, A2-LL-n (plot 1 of 5).

'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_lenfit_flt2mkt0_page1.png

Length comps, whole catch, A2-LL-n (plot 2 of 5)
file: comp_lenfit_flt2mkt0_page2.png

Length comps, whole catch, A2-LL-n (plot 3 of 5)
file: comp_lenfit_flt2mkt0_page3.png

Length comps, whole catch, A2-LL-n (plot 4 of 5)
file: comp_lenfit_flt2mkt0_page4.png

Length comps, whole catch, A2-LL-n (plot 5 of 5)
file: comp_lenfit_flt2mkt0_page5.png

Pearson residuals, whole catch, A2-LL-n (max=5.56) (plot 5 of 5)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt2mkt0_page5.png

N-EffN comparison, Length comps, whole catch, A2-LL-n
file: comp_lenfit_sampsize_flt2mkt0.png

Mean length for A2-LL-n 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 len data from A2-LL-n:
0.9908 (0.7427-1.5445)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_A2-LL-n.png

Length comps, whole catch, A3-LL-n (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-Iannelli tuning method.
file: comp_lenfit_flt3mkt0_page1.png

Length comps, whole catch, A3-LL-n (plot 2 of 3)
file: comp_lenfit_flt3mkt0_page2.png

Length comps, whole catch, A3-LL-n (plot 3 of 3)
file: comp_lenfit_flt3mkt0_page3.png

Pearson residuals, whole catch, A3-LL-n (max=7.18) (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, A3-LL-n
file: comp_lenfit_sampsize_flt3mkt0.png

Mean length for A3-LL-n 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 len data from A3-LL-n:
1.0426 (0.705-1.8535)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_A3-LL-n.png

Length comps, whole catch, A4-LL-n (plot 1 of 5).

'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_lenfit_flt4mkt0_page1.png

Length comps, whole catch, A4-LL-n (plot 2 of 5)
file: comp_lenfit_flt4mkt0_page2.png

Length comps, whole catch, A4-LL-n (plot 3 of 5)
file: comp_lenfit_flt4mkt0_page3.png

Length comps, whole catch, A4-LL-n (plot 4 of 5)
file: comp_lenfit_flt4mkt0_page4.png

Length comps, whole catch, A4-LL-n (plot 5 of 5)
file: comp_lenfit_flt4mkt0_page5.png

Pearson residuals, whole catch, A4-LL-n (max=7.11) (plot 5 of 5)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt4mkt0_page5.png

N-EffN comparison, Length comps, whole catch, A4-LL-n
file: comp_lenfit_sampsize_flt4mkt0.png

Mean length for A4-LL-n 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 len data from A4-LL-n:
0.952 (0.7386-1.3222)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_A4-LL-n.png

Length comps, whole catch, A5-LL-n (plot 1 of 5).

'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_lenfit_flt5mkt0_page1.png

Length comps, whole catch, A5-LL-n (plot 2 of 5)
file: comp_lenfit_flt5mkt0_page2.png

Length comps, whole catch, A5-LL-n (plot 3 of 5)
file: comp_lenfit_flt5mkt0_page3.png

Length comps, whole catch, A5-LL-n (plot 4 of 5)
file: comp_lenfit_flt5mkt0_page4.png

Length comps, whole catch, A5-LL-n (plot 5 of 5)
file: comp_lenfit_flt5mkt0_page5.png

Pearson residuals, whole catch, A5-LL-n (max=2.83) (plot 5 of 5)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt5mkt0_page5.png

N-EffN comparison, Length comps, whole catch, A5-LL-n
file: comp_lenfit_sampsize_flt5mkt0.png

Mean length for A5-LL-n 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 len data from A5-LL-n:
0.9838 (0.6954-1.5572)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_A5-LL-n.png

Length comps, whole catch, A6-LL-n (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-Iannelli tuning method.
file: comp_lenfit_flt6mkt0_page1.png

Length comps, whole catch, A6-LL-n (plot 2 of 3)
file: comp_lenfit_flt6mkt0_page2.png

Length comps, whole catch, A6-LL-n (plot 3 of 3)
file: comp_lenfit_flt6mkt0_page3.png

Pearson residuals, whole catch, A6-LL-n (max=17.07) (plot 3 of 3)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt6mkt0_page3.png

N-EffN comparison, Length comps, whole catch, A6-LL-n
file: comp_lenfit_sampsize_flt6mkt0.png

Mean length for A6-LL-n 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 len data from A6-LL-n:
1.0196 (0.7503-1.6688)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_A6-LL-n.png

Length comps, whole catch, A2-OBJ (plot 1 of 5).

'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_lenfit_flt13mkt0_page1.png

Length comps, whole catch, A2-OBJ (plot 2 of 5)
file: comp_lenfit_flt13mkt0_page2.png

Length comps, whole catch, A2-OBJ (plot 3 of 5)
file: comp_lenfit_flt13mkt0_page3.png

Length comps, whole catch, A2-OBJ (plot 4 of 5)
file: comp_lenfit_flt13mkt0_page4.png

Length comps, whole catch, A2-OBJ (plot 5 of 5)
file: comp_lenfit_flt13mkt0_page5.png

Pearson residuals, whole catch, A2-OBJ (max=2.87) (plot 5 of 5)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt13mkt0_page5.png

N-EffN comparison, Length comps, whole catch, A2-OBJ
file: comp_lenfit_sampsize_flt13mkt0.png

Mean length for A2-OBJ 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 len data from A2-OBJ:
0.9598 (0.5144-2.212)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_A2-OBJ.png

Length comps, whole catch, A3-OBJ (plot 1 of 5).

'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_lenfit_flt14mkt0_page1.png

Length comps, whole catch, A3-OBJ (plot 2 of 5)
file: comp_lenfit_flt14mkt0_page2.png

Length comps, whole catch, A3-OBJ (plot 3 of 5)
file: comp_lenfit_flt14mkt0_page3.png

Length comps, whole catch, A3-OBJ (plot 4 of 5)
file: comp_lenfit_flt14mkt0_page4.png

Length comps, whole catch, A3-OBJ (plot 5 of 5)
file: comp_lenfit_flt14mkt0_page5.png

Pearson residuals, whole catch, A3-OBJ (max=3.69) (plot 5 of 5)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt14mkt0_page5.png

N-EffN comparison, Length comps, whole catch, A3-OBJ
file: comp_lenfit_sampsize_flt14mkt0.png

Mean length for A3-OBJ 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 len data from A3-OBJ:
1.0067 (0.7022-1.5596)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_A3-OBJ.png

Length comps, whole catch, A4-OBJ.

'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_lenfit_flt15mkt0.png

Pearson residuals, whole catch, A4-OBJ (max=11.14)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt15mkt0.png

N-EffN comparison, Length comps, whole catch, A4-OBJ
file: comp_lenfit_sampsize_flt15mkt0.png

Mean length for A4-OBJ 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 len data from A4-OBJ:
0.9706 (0.6038-2.8422)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_A4-OBJ.png

Length comps, whole catch, A5-OBJ (plot 1 of 4).

'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_lenfit_flt16mkt0_page1.png

Length comps, whole catch, A5-OBJ (plot 2 of 4)
file: comp_lenfit_flt16mkt0_page2.png

Length comps, whole catch, A5-OBJ (plot 3 of 4)
file: comp_lenfit_flt16mkt0_page3.png

Length comps, whole catch, A5-OBJ (plot 4 of 4)
file: comp_lenfit_flt16mkt0_page4.png

Pearson residuals, whole catch, A5-OBJ (max=3.78) (plot 4 of 4)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt16mkt0_page4.png

N-EffN comparison, Length comps, whole catch, A5-OBJ
file: comp_lenfit_sampsize_flt16mkt0.png

Mean length for A5-OBJ 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 len data from A5-OBJ:
2.0191 (1.4087-3.6161)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_A5-OBJ.png

Length comps, whole catch, A6-OBJ (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_lenfit_flt17mkt0_page1.png

Length comps, whole catch, A6-OBJ (plot 2 of 2)
file: comp_lenfit_flt17mkt0_page2.png

Pearson residuals, whole catch, A6-OBJ (max=4) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt17mkt0_page2.png

N-EffN comparison, Length comps, whole catch, A6-OBJ
file: comp_lenfit_sampsize_flt17mkt0.png

Mean length for A6-OBJ 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 len data from A6-OBJ:
0.9734 (0.601-2.7442)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_A6-OBJ.png

Length comps, whole catch, A2-NOADEL.

'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_lenfit_flt19mkt0.png

Pearson residuals, whole catch, A2-NOADEL (max=1.27)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt19mkt0.png

N-EffN comparison, Length comps, whole catch, A2-NOADEL
file: comp_lenfit_sampsize_flt19mkt0.png

Mean length for A2-NOADEL 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 len data from A2-NOADEL:
1.9322 (1.1263-115.812)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_A2-NOADEL.png

Length comps, whole catch, A3-NOADEL (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_lenfit_flt20mkt0_page1.png

Length comps, whole catch, A3-NOADEL (plot 2 of 2)
file: comp_lenfit_flt20mkt0_page2.png

Pearson residuals, whole catch, A3-NOADEL (max=5.25) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt20mkt0_page2.png

N-EffN comparison, Length comps, whole catch, A3-NOADEL
file: comp_lenfit_sampsize_flt20mkt0.png

Mean length for A3-NOADEL 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 len data from A3-NOADEL:
1.007 (0.7055-1.8168)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_A3-NOADEL.png

Length comps, whole catch, A5-NOADEL.

'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_lenfit_flt22mkt0.png

Pearson residuals, whole catch, A5-NOADEL (max=3.31)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt22mkt0.png

N-EffN comparison, Length comps, whole catch, A5-NOADEL
file: comp_lenfit_sampsize_flt22mkt0.png

Mean length for A5-NOADEL 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 len data from A5-NOADEL:
0.9656 (0.9656-Inf)

For more info, see

file: comp_lenfit_data_weighting_TA1.8_A5-NOADEL.png

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 4)
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 4)
file: comp_lenfit__page2_multi-fleet_comparison.png

Pearson residuals, comparing across fleets (plot 3 of 4)
file: comp_lenfit__page3_multi-fleet_comparison.png

Pearson residuals, comparing across fleets (plot 4 of 4)
file: comp_lenfit__page4_multi-fleet_comparison.png

Size comps, whole catch, EPO-LL-survey-late (plot 1 of 5).

'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_sizefit_flt24mkt0_page1.png

Size comps, whole catch, EPO-LL-survey-late (plot 2 of 5)
file: comp_sizefit_flt24mkt0_page2.png

Size comps, whole catch, EPO-LL-survey-late (plot 3 of 5)
file: comp_sizefit_flt24mkt0_page3.png

Size comps, whole catch, EPO-LL-survey-late (plot 4 of 5)
file: comp_sizefit_flt24mkt0_page4.png

Size comps, whole catch, EPO-LL-survey-late (plot 5 of 5)
file: comp_sizefit_flt24mkt0_page5.png

Pearson residuals, whole catch, EPO-LL-survey-late (max=3.16) (plot 5 of 5)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_sizefit_residsflt24mkt0_page5.png

N-EffN comparison, Size comps, whole catch, EPO-LL-survey-late
file: comp_sizefit_sampsize_flt24mkt0.png

Mean size for EPO-LL-survey-late 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 size data from EPO-LL-survey-late:
0.9352 (0.6601-1.5721)

For more info, see

file: comp_sizefit_data_weighting_TA1.8_EPO-LL-survey-late.png

Size 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_sizefit__aggregated_across_time.png