Index

Index data for Fishery. Lines indicate 95% uncertainty interval around index values based on the model assumption of lognormal error. Thicker lines (if present) indicate input uncertainty before addition of estimated additional uncertainty parameter.
Index data for Fishery. Lines indicate 95% uncertainty interval around index values based on the model assumption of lognormal error. Thicker lines (if present) indicate input uncertainty before addition of estimated additional uncertainty parameter.
file: index1_cpuedata_Fishery.png

Fit to index data for Fishery. Lines indicate 95% uncertainty interval around index values based on the model assumption of lognormal error. Thicker lines (if present) indicate input uncertainty before addition of estimated additional uncertainty parameter.
Fit to index data for Fishery. Lines indicate 95% uncertainty interval around index values based on the model assumption of lognormal error. Thicker lines (if present) indicate input uncertainty before addition of estimated additional uncertainty parameter.
file: index2_cpuefit_Fishery.png

Observed vs. expected index values with smoother for Fishery
Observed vs. expected index values with smoother for Fishery
file: index3_obs_vs_exp_Fishery.png

Log index data for Fishery. Lines indicate 95% uncertainty interval around index values based on the model assumption of lognormal error. Thicker lines (if present) indicate input uncertainty before addition of estimated additional uncertainty parameter.
Log index data for Fishery. Lines indicate 95% uncertainty interval around index values based on the model assumption of lognormal error. Thicker lines (if present) indicate input uncertainty before addition of estimated additional uncertainty parameter.
file: index4_logcpuedata_Fishery.png

Fit to log index data on log scale for Fishery. Lines indicate 95% uncertainty interval around index values based on the model assumption of lognormal error. Thicker lines (if present) indicate input uncertainty before addition of estimated additional uncertainty parameter.
Fit to log index data on log scale for Fishery. Lines indicate 95% uncertainty interval around index values based on the model assumption of lognormal error. Thicker lines (if present) indicate input uncertainty before addition of estimated additional uncertainty parameter.
file: index5_logcpuefit_Fishery.png

log(observed) vs. log(expected) index values with smoother for Fishery
log(observed) vs. log(expected) index values with smoother for Fishery
file: index6_log_obs_vs_exp_Fishery.png

Residuals of fit to index for Fishery.
Residuals of fit to index for Fishery.
Values are (log(Obs) - log(Exp))/SE where SE is the total standard error including any estimated additional uncertainty.
file: index10_resids_SE_total_Fishery.png

Deviations for fit to index for Fishery.
Deviations for fit to index for Fishery.
Values are log(Obs) - log(Exp) and thus independent of index uncertainty.
file: index12_resids_SE_total_Fishery.png

Index data for Survey. Lines indicate 95% uncertainty interval around index values based on the model assumption of lognormal error. Thicker lines (if present) indicate input uncertainty before addition of estimated additional uncertainty parameter.
Index data for Survey. Lines indicate 95% uncertainty interval around index values based on the model assumption of lognormal error. Thicker lines (if present) indicate input uncertainty before addition of estimated additional uncertainty parameter.
file: index1_cpuedata_Survey.png

Fit to index data for Survey. Lines indicate 95% uncertainty interval around index values based on the model assumption of lognormal error. Thicker lines (if present) indicate input uncertainty before addition of estimated additional uncertainty parameter.
Fit to index data for Survey. Lines indicate 95% uncertainty interval around index values based on the model assumption of lognormal error. Thicker lines (if present) indicate input uncertainty before addition of estimated additional uncertainty parameter.
file: index2_cpuefit_Survey.png

Observed vs. expected index values with smoother for Survey
Observed vs. expected index values with smoother for Survey
file: index3_obs_vs_exp_Survey.png

Log index data for Survey. Lines indicate 95% uncertainty interval around index values based on the model assumption of lognormal error. Thicker lines (if present) indicate input uncertainty before addition of estimated additional uncertainty parameter.
Log index data for Survey. Lines indicate 95% uncertainty interval around index values based on the model assumption of lognormal error. Thicker lines (if present) indicate input uncertainty before addition of estimated additional uncertainty parameter.
file: index4_logcpuedata_Survey.png

Fit to log index data on log scale for Survey. Lines indicate 95% uncertainty interval around index values based on the model assumption of lognormal error. Thicker lines (if present) indicate input uncertainty before addition of estimated additional uncertainty parameter.
Fit to log index data on log scale for Survey. Lines indicate 95% uncertainty interval around index values based on the model assumption of lognormal error. Thicker lines (if present) indicate input uncertainty before addition of estimated additional uncertainty parameter.
file: index5_logcpuefit_Survey.png

log(observed) vs. log(expected) index values with smoother for Survey
log(observed) vs. log(expected) index values with smoother for Survey
file: index6_log_obs_vs_exp_Survey.png

Residuals of fit to index for Survey.
Residuals of fit to index for Survey.
Values are (log(Obs) - log(Exp))/SE where SE is the total standard error including any estimated additional uncertainty.
file: index10_resids_SE_total_Survey.png

Deviations for fit to index for Survey.
Deviations for fit to index for Survey.
Values are log(Obs) - log(Exp) and thus independent of index uncertainty.
file: index12_resids_SE_total_Survey.png

Standardized indices overlaid. Each index is rescaled to have mean observation = 1.0.
Standardized indices overlaid. Each index is rescaled to have mean observation = 1.0.
file: index9_standcpueall.png