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
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit__multi-fleet_comparison.png


Length comps, discard, Fixed Gear.

'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_flt1mkt1.png


Pearson residuals, discard, Fixed Gear (max=7.02)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt1mkt1.png


N-EffN comparison, Length comps, discard, Fixed Gear
file: comp_lenfit_sampsize_flt1mkt1.png


Mean length for Fixed Gear 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 Fixed Gear:
1.0001 (0.5475-3.6192)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_Fixed Gear.png


Length comps, discard, 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_flt2mkt1.png


Pearson residuals, discard, Trawl (max=6.19)
Closed bubbles are positive residuals (observed > expected) and open bubbles are negative residuals (observed < expected).
file: comp_lenfit_residsflt2mkt1.png


N-EffN comparison, Length comps, discard, Trawl
file: comp_lenfit_sampsize_flt2mkt1.png


Mean length for 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 Trawl:
1.0007 (0.6295-2.5843)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_Trawl.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_flt7mkt0.png


Pearson residuals, whole catch, WCGBTS (max=8.14)
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, WCGBTS
file: comp_lenfit_sampsize_flt7mkt0.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:
0.9997 (0.6289-1.9638)
For more info, see Francis (2011).
file: comp_lenfit_data_weighting_TA1.8_WCGBTS.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_flt7mkt0.png