LenComp


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, BOTTOM_TRAWL (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, BOTTOM_TRAWL (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, BOTTOM_TRAWL (max=6.75) (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, BOTTOM_TRAWL
file: comp_lenfit_sampsize_flt1mkt0.png


Mean length for BOTTOM_TRAWL 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 BOTTOM_TRAWL:
1.0002 (0.5957-3.2494)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_BOTTOM_TRAWL.png


Length comps, whole catch, BOTTOM_TRAWL_DISCARD.

'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.png


Pearson residuals, whole catch, BOTTOM_TRAWL_DISCARD (max=8.66)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt2mkt0.png


N-EffN comparison, Length comps, whole catch, BOTTOM_TRAWL_DISCARD
file: comp_lenfit_sampsize_flt2mkt0.png


Mean length for BOTTOM_TRAWL_DISCARD 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 BOTTOM_TRAWL_DISCARD:
0.9999 (0.4876-4.7732)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_BOTTOM_TRAWL_DISCARD.png


Length comps, whole catch, NON_TRAWL (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, NON_TRAWL (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, NON_TRAWL (max=13.07) (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, NON_TRAWL
file: comp_lenfit_sampsize_flt3mkt0.png


Mean length for NON_TRAWL 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 NON_TRAWL:
0.9995 (0.6214-2.4946)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_NON_TRAWL.png


Length comps, whole catch, NON_TRAWL_DISCARD.

'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.png


Pearson residuals, whole catch, NON_TRAWL_DISCARD (max=13.8)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt4mkt0.png


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


Mean length for NON_TRAWL_DISCARD 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 NON_TRAWL_DISCARD:
0.9999 (0.6243-2.2509)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_NON_TRAWL_DISCARD.png


Length comps, whole catch, MIDWATER_TRAWL.

'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.png


Pearson residuals, whole catch, MIDWATER_TRAWL (max=14.19)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt5mkt0.png


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


Mean length for MIDWATER_TRAWL 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 MIDWATER_TRAWL:
1.0003 (0.683-2.0655)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_MIDWATER_TRAWL.png


Length comps, whole catch, AT_SEA_HAKE.

'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.png


Pearson residuals, whole catch, AT_SEA_HAKE (max=1.08)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt6mkt0.png


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


Mean length for AT_SEA_HAKE 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 AT_SEA_HAKE:
0.9997 (0.7325-1.8775)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_AT_SEA_HAKE.png


Length comps, whole catch, TRIENNIAL.

'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.png


Pearson residuals, whole catch, TRIENNIAL (max=1.74)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt7mkt0.png


N-EffN comparison, Length comps, whole catch, TRIENNIAL
file: comp_lenfit_sampsize_flt7mkt0.png


Mean length for TRIENNIAL 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 TRIENNIAL:
0.9999 (0.7135-4.0638)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_TRIENNIAL.png


Length comps, whole catch, AK_SLOPE.

'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.png


Pearson residuals, whole catch, AK_SLOPE (max=4.78)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt8mkt0.png


N-EffN comparison, Length comps, whole catch, AK_SLOPE
file: comp_lenfit_sampsize_flt8mkt0.png


Mean length for AK_SLOPE 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 AK_SLOPE:
3.6595 (2.5617-Inf)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_AK_SLOPE.png


Length 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_lenfit_flt10mkt0.png


Pearson residuals, whole catch, WCGBTS (max=3.97)
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, WCGBTS
file: comp_lenfit_sampsize_flt10mkt0.png


Mean length for WCGBTS 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 WCGBTS:
0.9999 (0.7019-1.8683)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1-8_WCGBTS.png


Sex ratios for length comps, whole catch, BOTTOM_TRAWL (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_len_flt1mkt0_page1.png


Sex ratios for length comps, whole catch, BOTTOM_TRAWL (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_len_flt1mkt0_page2.png


Sex ratios for length comps, whole catch, NON_TRAWL (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_len_flt3mkt0_page1.png


Sex ratios for length comps, whole catch, NON_TRAWL (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_len_flt3mkt0_page2.png


Sex ratios for length comps, whole catch, MIDWATER_TRAWL.
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_flt5mkt0.png


Sex ratios for length comps, whole catch, AT_SEA_HAKE.
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_flt6mkt0.png


Sex ratios for length comps, whole catch, TRIENNIAL.
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_flt7mkt0.png


Sex ratios for length comps, whole catch, AK_SLOPE.
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_flt8mkt0.png


Sex ratios for length comps, whole catch, WCGBTS.
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_flt10mkt0.png