AgeComp


Age 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_agefit__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_agefit__page1_multi-fleet_comparison.png


Pearson residuals, comparing across fleets (plot 2 of 2)
file: comp_agefit__page2_multi-fleet_comparison.png


Age 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_agefit_flt1mkt0_page1.png


Age 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_agefit_flt1mkt0_page2.png


Pearson residuals, whole catch, CA_TWL (max=12.53) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_agefit_residsflt1mkt0_page2.png


N-EffN comparison, Age comps, whole catch, CA_TWL
file: comp_agefit_sampsize_flt1mkt0.png


Mean age 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 age data from CA_TWL:
1.0003 (0.6753-1.8986)
For more info, see Francis (2011).
file: comp_agefit_data_weighting_TA1.8_CA_TWL.png


Age comps, whole catch, OR_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_agefit_flt2mkt0_page1.png


Age comps, whole catch, OR_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_agefit_flt2mkt0_page2.png


Pearson residuals, whole catch, OR_TWL (max=9.14) (plot 2 of 2)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_agefit_residsflt2mkt0_page2.png


N-EffN comparison, Age comps, whole catch, OR_TWL
file: comp_agefit_sampsize_flt2mkt0.png


Mean age 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 age data from OR_TWL:
1.0061 (0.685-1.7537)
For more info, see Francis (2011).
file: comp_agefit_data_weighting_TA1.8_OR_TWL.png


Age 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_agefit_flt3mkt0_page1.png


Age 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_agefit_flt3mkt0_page2.png


Age 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_agefit_flt3mkt0_page3.png


Pearson residuals, whole catch, WA_TWL (max=3.24) (plot 3 of 3)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_agefit_residsflt3mkt0_page3.png


N-EffN comparison, Age comps, whole catch, WA_TWL
file: comp_agefit_sampsize_flt3mkt0.png


Mean age 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 age data from WA_TWL:
0.9969 (0.7215-1.5527)
For more info, see Francis (2011).
file: comp_agefit_data_weighting_TA1.8_WA_TWL.png


Age comps, whole catch, CA_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_agefit_flt4mkt0.png


Pearson residuals, whole catch, CA_NTWL (max=4.83)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_agefit_residsflt4mkt0.png


N-EffN comparison, Age comps, whole catch, CA_NTWL
file: comp_agefit_sampsize_flt4mkt0.png


Mean age 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 age data from CA_NTWL:
1.0108 (0.6458-2.4283)
For more info, see Francis (2011).
file: comp_agefit_data_weighting_TA1.8_CA_NTWL.png


Age 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_agefit_flt5mkt0.png


Pearson residuals, whole catch, OR_NTWL (max=7.33)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_agefit_residsflt5mkt0.png


N-EffN comparison, Age comps, whole catch, OR_NTWL
file: comp_agefit_sampsize_flt5mkt0.png


Mean age 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 age data from OR_NTWL:
0.9739 (0.5279-6.7785)
For more info, see Francis (2011).
file: comp_agefit_data_weighting_TA1.8_OR_NTWL.png


Age 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_agefit_flt6mkt0.png


Pearson residuals, whole catch, WA_NTWL (max=4.94)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_agefit_residsflt6mkt0.png


N-EffN comparison, Age comps, whole catch, WA_NTWL
file: comp_agefit_sampsize_flt6mkt0.png


Mean age 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 age data from WA_NTWL:
0.9906 (0.5917-7.1384)
For more info, see Francis (2011).
file: comp_agefit_data_weighting_TA1.8_WA_NTWL.png


Age comps, whole catch, OR_REC.

'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_agefit_flt8mkt0.png


Pearson residuals, whole catch, OR_REC (max=4.42)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_agefit_residsflt8mkt0.png


N-EffN comparison, Age comps, whole catch, OR_REC
file: comp_agefit_sampsize_flt8mkt0.png


Mean age 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 age data from OR_REC:
0.9917 (0.6356-2.7042)
For more info, see Francis (2011).
file: comp_agefit_data_weighting_TA1.8_OR_REC.png


Age comps, whole catch, WA_REC.

'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_agefit_flt9mkt0.png


Pearson residuals, whole catch, WA_REC (max=6.32)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_agefit_residsflt9mkt0.png


N-EffN comparison, Age comps, whole catch, WA_REC
file: comp_agefit_sampsize_flt9mkt0.png


Mean age 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 age data from WA_REC:
1.004 (0.6312-2.6172)
For more info, see Francis (2011).
file: comp_agefit_data_weighting_TA1.8_WA_REC.png


Age 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_agefit_flt11mkt0.png


Pearson residuals, whole catch, OR_ASHOP (max=3.35)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_agefit_residsflt11mkt0.png


N-EffN comparison, Age comps, whole catch, OR_ASHOP
file: comp_agefit_sampsize_flt11mkt0.png


Mean age 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 age data from OR_ASHOP:
0.9904 (0.6197-2.9766)
For more info, see Francis (2011).
file: comp_agefit_data_weighting_TA1.8_OR_ASHOP.png


Age 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_agefit_flt12mkt0.png


Pearson residuals, whole catch, WA_ASHOP (max=2.48)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_agefit_residsflt12mkt0.png


N-EffN comparison, Age comps, whole catch, WA_ASHOP
file: comp_agefit_sampsize_flt12mkt0.png


Mean age 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 age data from WA_ASHOP:
0.9913 (0.6703-2.2693)
For more info, see Francis (2011).
file: comp_agefit_data_weighting_TA1.8_WA_ASHOP.png


Excluded age comps, whole catch, CA_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_gstagefit_flt16mkt0.png


Pearson residuals, whole catch, CA_WCGBTS (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstagefit_residsflt16mkt0.png


Excluded age comps, whole catch, OR_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_gstagefit_flt17mkt0.png


Pearson residuals, whole catch, OR_WCGBTS (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstagefit_residsflt17mkt0.png


Excluded age comps, whole catch, WA_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_gstagefit_flt18mkt0.png


Pearson residuals, whole catch, WA_WCGBTS (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstagefit_residsflt18mkt0.png


Excluded age comps, whole catch, CA_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_gstagefit_flt19mkt0.png


Pearson residuals, whole catch, CA_Tri_early (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstagefit_residsflt19mkt0.png


Excluded age comps, whole catch, OR_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_gstagefit_flt20mkt0.png


Pearson residuals, whole catch, OR_Tri_early (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstagefit_residsflt20mkt0.png


Excluded age comps, whole catch, WA_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_gstagefit_flt21mkt0.png


Pearson residuals, whole catch, WA_Tri_early (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstagefit_residsflt21mkt0.png


Excluded age comps, whole catch, CA_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_gstagefit_flt22mkt0.png


Pearson residuals, whole catch, CA_Tri_late (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstagefit_residsflt22mkt0.png


Excluded age comps, whole catch, OR_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_gstagefit_flt23mkt0.png


Pearson residuals, whole catch, OR_Tri_late (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstagefit_residsflt23mkt0.png


Excluded age comps, whole catch, WA_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_gstagefit_flt24mkt0.png


Pearson residuals, whole catch, WA_Tri_late (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstagefit_residsflt24mkt0.png


Excluded age 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_gstagefit_flt28mkt0.png


Pearson residuals, whole catch, WCGBTS (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstagefit_residsflt28mkt0.png


Excluded age 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_gstagefit_flt29mkt0.png


Pearson residuals, whole catch, Tri_early (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstagefit_residsflt29mkt0.png


Excluded age 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_gstagefit_flt30mkt0.png


Pearson residuals, whole catch, Tri_late (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstagefit_residsflt30mkt0.png


Sex ratios for age 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_age_flt1mkt0_page1.png


Sex ratios for age 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_age_flt1mkt0_page2.png


Sex ratios for age comps, whole catch, OR_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_age_flt2mkt0_page1.png


Sex ratios for age comps, whole catch, OR_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_age_flt2mkt0_page2.png


Sex ratios for age comps, whole catch, WA_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_age_flt3mkt0_page1.png


Sex ratios for age comps, whole catch, WA_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_age_flt3mkt0_page2.png


Sex ratios for age comps, whole catch, CA_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_age_flt4mkt0.png


Sex ratios for age 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_age_flt5mkt0.png


Sex ratios for age 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_age_flt6mkt0.png


Sex ratios for age comps, whole catch, OR_REC.
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_age_flt8mkt0.png


Sex ratios for age comps, whole catch, WA_REC.
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_age_flt9mkt0.png


Sex ratios for age 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_age_flt11mkt0.png


Sex ratios for age 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_age_flt12mkt0.png