SS Output

SizeComp

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

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

'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_sizefit_flt1mkt0.png

Pearson residuals, whole catch, LL-n-A1 (max=3.26)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_sizefit_residsflt1mkt0.png

N-EffN comparison, Size comps, whole catch, LL-n-A1
file: comp_sizefit_sampsize_flt1mkt0.png

Mean size for LL-n-A1 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 size data from LL-n-A1:
4.6891 (2.4868-13.2957)
For more info, see Francis (2011).
file: comp_sizefit_data_weighting_TA1.8_LL-n-A1.png

Size comps, whole catch, LL-n-A2 (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-Ianelli tuning method.
file: comp_sizefit_flt2mkt0_page1.png

Pearson residuals, whole catch, LL-n-A2 (max=16.31) (plot 5 of 5)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_sizefit_residsflt2mkt0_page5.png

N-EffN comparison, Size comps, whole catch, LL-n-A2
file: comp_sizefit_sampsize_flt2mkt0.png

Mean size for LL-n-A2 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 size data from LL-n-A2:
1.0234 (0.8091-1.3762)
For more info, see Francis (2011).
file: comp_sizefit_data_weighting_TA1.8_LL-n-A2.png

Size comps, whole catch, LL-n-A3 (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-Ianelli tuning method.
file: comp_sizefit_flt3mkt0_page1.png

Pearson residuals, whole catch, LL-n-A3 (max=1.56) (plot 5 of 5)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_sizefit_residsflt3mkt0_page5.png

N-EffN comparison, Size comps, whole catch, LL-n-A3
file: comp_sizefit_sampsize_flt3mkt0.png

Mean size for LL-n-A3 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 size data from LL-n-A3:
5.0502 (3.7611-7.3048)
For more info, see Francis (2011).
file: comp_sizefit_data_weighting_TA1.8_LL-n-A3.png

Size comps, whole catch, LL-n-A4 (plot 1 of 6).

'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_sizefit_flt4mkt0_page1.png

Pearson residuals, whole catch, LL-n-A4 (max=7.71) (plot 6 of 6)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_sizefit_residsflt4mkt0_page6.png

N-EffN comparison, Size comps, whole catch, LL-n-A4
file: comp_sizefit_sampsize_flt4mkt0.png

Mean size for LL-n-A4 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 size data from LL-n-A4:
1.012 (0.8367-1.2869)
For more info, see Francis (2011).
file: comp_sizefit_data_weighting_TA1.8_LL-n-A4.png

Size comps, whole catch, LL-n-A5 (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-Ianelli tuning method.
file: comp_sizefit_flt5mkt0_page1.png

Pearson residuals, whole catch, LL-n-A5 (max=7.13) (plot 5 of 5)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_sizefit_residsflt5mkt0_page5.png

N-EffN comparison, Size comps, whole catch, LL-n-A5
file: comp_sizefit_sampsize_flt5mkt0.png

Mean size for LL-n-A5 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 size data from LL-n-A5:
0.9996 (0.7552-1.4658)
For more info, see Francis (2011).
file: comp_sizefit_data_weighting_TA1.8_LL-n-A5.png

Size comps, whole catch, LL-n-A6 (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-Ianelli tuning method.
file: comp_sizefit_flt6mkt0_page1.png

Pearson residuals, whole catch, LL-n-A6 (max=1.59) (plot 4 of 4)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_sizefit_residsflt6mkt0_page4.png

N-EffN comparison, Size comps, whole catch, LL-n-A6
file: comp_sizefit_sampsize_flt6mkt0.png

Mean size for LL-n-A6 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 size data from LL-n-A6:
4.6545 (3.4437-6.7693)
For more info, see Francis (2011).
file: comp_sizefit_data_weighting_TA1.8_LL-n-A6.png

Size comps, whole catch, LL-n-A7 (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_sizefit_flt7mkt0_page1.png

Pearson residuals, whole catch, LL-n-A7 (max=2.63) (plot 3 of 3)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_sizefit_residsflt7mkt0_page3.png

N-EffN comparison, Size comps, whole catch, LL-n-A7
file: comp_sizefit_sampsize_flt7mkt0.png

Mean size for LL-n-A7 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 size data from LL-n-A7:
4.9386 (3.1495-8.6441)
For more info, see Francis (2011).
file: comp_sizefit_data_weighting_TA1.8_LL-n-A7.png

Size comps, whole catch, LL-Survey (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-Ianelli tuning method.
file: comp_sizefit_flt23mkt0_page1.png

Pearson residuals, whole catch, LL-Survey (max=3.09) (plot 4 of 4)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_sizefit_residsflt23mkt0_page4.png

N-EffN comparison, Size comps, whole catch, LL-Survey
file: comp_sizefit_sampsize_flt23mkt0.png

Mean size for LL-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 size data from LL-Survey:
0.9451 (0.7226-1.2932)
For more info, see Francis (2011).
file: comp_sizefit_data_weighting_TA1.8_LL-Survey.png