LenComp

Length comps, aggregated across time by fleet.
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
Pearson residuals, comparing across fleets
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit__multi-fleet_comparison.png

Length comps, whole catch, CHL_LL (plot 1 of 3).
Length comps, whole catch, CHL_LL (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_lenfit_flt1mkt0_page1.png

Length comps, whole catch, CHL_LL (plot 1 of 3).
Length comps, whole catch, CHL_LL (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_lenfit_flt1mkt0_page2.png

Length comps, whole catch, CHL_LL (plot 1 of 3).
Length comps, whole catch, CHL_LL (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_lenfit_flt1mkt0_page3.png

Pearson residuals, whole catch, CHL_LL (max=21.29) (plot 3 of 3)
Pearson residuals, whole catch, CHL_LL (max=21.29) (plot 3 of 3)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt1mkt0_page3.png

N-EffN comparison, Length comps, whole catch, CHL_LL
N-EffN comparison, Length comps, whole catch, CHL_LL
file: comp_lenfit_sampsize_flt1mkt0.png

Mean length for CHL_LL with 95% confidence intervals based on current samples sizes.
Mean length for CHL_LL 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 CHL_LL:
7.1888 (4.3546-16.7525)

For more info, see

Francis, R.I.C.C. (2011). Data weighting in statistical fisheries stock assessment models. Can. J. Fish. Aquat. Sci. 68: 1124-1138. https://doi.org/10.1139/f2011-025

file: comp_lenfit_data_weighting_TA1.8_CHL_LL.png

Length comps, whole catch, CHL+PER (plot 1 of 2).
Length comps, whole catch, CHL+PER (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, CHL+PER (plot 1 of 2).
Length comps, whole catch, CHL+PER (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, CHL+PER (max=29.05) (plot 2 of 2)
Pearson residuals, whole catch, CHL+PER (max=29.05) (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, CHL+PER
N-EffN comparison, Length comps, whole catch, CHL+PER
file: comp_lenfit_sampsize_flt2mkt0.png

Mean length for CHL+PER with 95% confidence intervals based on current samples sizes.
Mean length for CHL+PER 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 CHL+PER:
5.1599 (2.6837-19.5238)

For more info, see

Francis, R.I.C.C. (2011). Data weighting in statistical fisheries stock assessment models. Can. J. Fish. Aquat. Sci. 68: 1124-1138. https://doi.org/10.1139/f2011-025

file: comp_lenfit_data_weighting_TA1.8_CHL+PER.png

Length comps, whole catch, JPN+Like (plot 1 of 6).
Length comps, whole catch, JPN+Like (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_lenfit_flt3mkt0_page1.png

Length comps, whole catch, JPN+Like (plot 1 of 6).
Length comps, whole catch, JPN+Like (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. (plot 2 of 6)
file: comp_lenfit_flt3mkt0_page2.png

Length comps, whole catch, JPN+Like (plot 1 of 6).
Length comps, whole catch, JPN+Like (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. (plot 2 of 6) (plot 3 of 6)
file: comp_lenfit_flt3mkt0_page3.png

Length comps, whole catch, JPN+Like (plot 1 of 6).
Length comps, whole catch, JPN+Like (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. (plot 2 of 6) (plot 3 of 6) (plot 4 of 6)
file: comp_lenfit_flt3mkt0_page4.png

Length comps, whole catch, JPN+Like (plot 1 of 6).
Length comps, whole catch, JPN+Like (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. (plot 2 of 6) (plot 3 of 6) (plot 4 of 6) (plot 5 of 6)
file: comp_lenfit_flt3mkt0_page5.png

Length comps, whole catch, JPN+Like (plot 1 of 6).
Length comps, whole catch, JPN+Like (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. (plot 2 of 6) (plot 3 of 6) (plot 4 of 6) (plot 5 of 6) (plot 6 of 6)
file: comp_lenfit_flt3mkt0_page6.png

Pearson residuals, whole catch, JPN+Like (max=129.69) (plot 6 of 6)
Pearson residuals, whole catch, JPN+Like (max=129.69) (plot 6 of 6)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt3mkt0_page6.png

N-EffN comparison, Length comps, whole catch, JPN+Like
N-EffN comparison, Length comps, whole catch, JPN+Like
file: comp_lenfit_sampsize_flt3mkt0.png

Mean length for JPN+Like with 95% confidence intervals based on current samples sizes.
Mean length for JPN+Like 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 JPN+Like:
1.2491 (0.7778-3.0549)

For more info, see

Francis, R.I.C.C. (2011). Data weighting in statistical fisheries stock assessment models. Can. J. Fish. Aquat. Sci. 68: 1124-1138. https://doi.org/10.1139/f2011-025

file: comp_lenfit_data_weighting_TA1.8_JPN+Like.png

Length comps, whole catch, JPN_Coast (plot 1 of 3).
Length comps, whole catch, JPN_Coast (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_lenfit_flt4mkt0_page1.png

Length comps, whole catch, JPN_Coast (plot 1 of 3).
Length comps, whole catch, JPN_Coast (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_lenfit_flt4mkt0_page2.png

Length comps, whole catch, JPN_Coast (plot 1 of 3).
Length comps, whole catch, JPN_Coast (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_lenfit_flt4mkt0_page3.png

Pearson residuals, whole catch, JPN_Coast (max=87.3) (plot 3 of 3)
Pearson residuals, whole catch, JPN_Coast (max=87.3) (plot 3 of 3)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt4mkt0_page3.png

N-EffN comparison, Length comps, whole catch, JPN_Coast
N-EffN comparison, Length comps, whole catch, JPN_Coast
file: comp_lenfit_sampsize_flt4mkt0.png

Mean length for JPN_Coast with 95% confidence intervals based on current samples sizes.
Mean length for JPN_Coast 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 JPN_Coast:
1.1867 (0.8908-1.9456)

For more info, see

Francis, R.I.C.C. (2011). Data weighting in statistical fisheries stock assessment models. Can. J. Fish. Aquat. Sci. 68: 1124-1138. https://doi.org/10.1139/f2011-025

file: comp_lenfit_data_weighting_TA1.8_JPN_Coast.png

Length comps, whole catch, ESP_Off (plot 1 of 3).
Length comps, whole catch, ESP_Off (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_lenfit_flt5mkt0_page1.png

Length comps, whole catch, ESP_Off (plot 1 of 3).
Length comps, whole catch, ESP_Off (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_lenfit_flt5mkt0_page2.png

Length comps, whole catch, ESP_Off (plot 1 of 3).
Length comps, whole catch, ESP_Off (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_lenfit_flt5mkt0_page3.png

Pearson residuals, whole catch, ESP_Off (max=58.04) (plot 3 of 3)
Pearson residuals, whole catch, ESP_Off (max=58.04) (plot 3 of 3)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt5mkt0_page3.png

N-EffN comparison, Length comps, whole catch, ESP_Off
N-EffN comparison, Length comps, whole catch, ESP_Off
file: comp_lenfit_sampsize_flt5mkt0.png

Mean length for ESP_Off with 95% confidence intervals based on current samples sizes.
Mean length for ESP_Off 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 ESP_Off:
2.5976 (1.7071-5.7873)

For more info, see

Francis, R.I.C.C. (2011). Data weighting in statistical fisheries stock assessment models. Can. J. Fish. Aquat. Sci. 68: 1124-1138. https://doi.org/10.1139/f2011-025

file: comp_lenfit_data_weighting_TA1.8_ESP_Off.png

Length comps, whole catch, ESP_Coast (plot 1 of 4).
Length comps, whole catch, ESP_Coast (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_lenfit_flt6mkt0_page1.png

Length comps, whole catch, ESP_Coast (plot 1 of 4).
Length comps, whole catch, ESP_Coast (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. (plot 2 of 4)
file: comp_lenfit_flt6mkt0_page2.png

Length comps, whole catch, ESP_Coast (plot 1 of 4).
Length comps, whole catch, ESP_Coast (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. (plot 2 of 4) (plot 3 of 4)
file: comp_lenfit_flt6mkt0_page3.png

Length comps, whole catch, ESP_Coast (plot 1 of 4).
Length comps, whole catch, ESP_Coast (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. (plot 2 of 4) (plot 3 of 4) (plot 4 of 4)
file: comp_lenfit_flt6mkt0_page4.png

Pearson residuals, whole catch, ESP_Coast (max=62.43) (plot 4 of 4)
Pearson residuals, whole catch, ESP_Coast (max=62.43) (plot 4 of 4)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt6mkt0_page4.png

N-EffN comparison, Length comps, whole catch, ESP_Coast
N-EffN comparison, Length comps, whole catch, ESP_Coast
file: comp_lenfit_sampsize_flt6mkt0.png

Mean length for ESP_Coast with 95% confidence intervals based on current samples sizes.
Mean length for ESP_Coast 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 ESP_Coast:
1.9461 (1.3817-3.4361)

For more info, see

Francis, R.I.C.C. (2011). Data weighting in statistical fisheries stock assessment models. Can. J. Fish. Aquat. Sci. 68: 1124-1138. https://doi.org/10.1139/f2011-025

file: comp_lenfit_data_weighting_TA1.8_ESP_Coast.png

Ghost length comps, whole catch, JPN+Like.
Ghost length comps, whole catch, JPN+Like.

'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_gstlenfit_flt3mkt0.png

Pearson residuals, whole catch, JPN+Like (max=NA)
Pearson residuals, whole catch, JPN+Like (max=NA)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_gstlenfit_residsflt3mkt0.png

Sex ratios for length comps, whole catch, CHL_LL.
Sex ratios for length comps, whole catch, CHL_LL.
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.png

Sex ratios for length comps, whole catch, CHL+PER.
Sex ratios for length comps, whole catch, CHL+PER.
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_flt2mkt0.png