Methodology to analyze the propagation of errors in fishery model parameters is described and demonstrated through its application to stock size estimates obtained using Pope's cohort analysis. The method requires that independent standard errors for model parameters be available, and it is based upon a formal analysis of how uncertainties propagate through model calculations. In certain cases the methodology described can be used instead of a numerical-sensitivity analysis to investigate the model responses to error or uncertainty in its parameters. The ability to assess the relative merits of increased precision in various parameter estimates is considered especially useful.Environmental Economics and Policy, Research Methods/ Statistical...
New methods for estimation of growth and mortality parameters, together with their error estimation...
Many decisions and assessments made by fisheries managers and researchers use estimates. The confide...
Abstract only.A major simplification in bioeconomic models is that the model parameters\ud and funct...
Errors in modeling fishery population dynamics often come in two forms, random and structured. Rando...
Large uncertainties may exist in modeling various processes determining fisheries population dynamic...
A variety of tools are available to quantify uncertainty in age-structured fish stock assessments an...
Thesis (Ph.D.)--University of Washington, 2016-02Uncertainty is an integral part of fisheries stock ...
In fisheries, advice for the management of fish populations is based upon management quantities that...
The quality of fisheries data has great impacts on the quality of stock assessment, and thus fisheri...
Estimating fish stock status is very challenging given the many sources and high levels of uncertain...
Fisheries scientists habitually consider uncertainty in parameter values, but often neglect uncertai...
Fishery stock assessment is an essential scientific process to provide scientific advice for sustain...
Fisheries are subject to multiple forms of uncertainty. One of these, parameter uncertainty, has bee...
The main uncertainties that affect the quality of fisheries stock assessment and pose great challeng...
The purpose of stock assessment is to support managers to provide intelligent decisions regarding re...
New methods for estimation of growth and mortality parameters, together with their error estimation...
Many decisions and assessments made by fisheries managers and researchers use estimates. The confide...
Abstract only.A major simplification in bioeconomic models is that the model parameters\ud and funct...
Errors in modeling fishery population dynamics often come in two forms, random and structured. Rando...
Large uncertainties may exist in modeling various processes determining fisheries population dynamic...
A variety of tools are available to quantify uncertainty in age-structured fish stock assessments an...
Thesis (Ph.D.)--University of Washington, 2016-02Uncertainty is an integral part of fisheries stock ...
In fisheries, advice for the management of fish populations is based upon management quantities that...
The quality of fisheries data has great impacts on the quality of stock assessment, and thus fisheri...
Estimating fish stock status is very challenging given the many sources and high levels of uncertain...
Fisheries scientists habitually consider uncertainty in parameter values, but often neglect uncertai...
Fishery stock assessment is an essential scientific process to provide scientific advice for sustain...
Fisheries are subject to multiple forms of uncertainty. One of these, parameter uncertainty, has bee...
The main uncertainties that affect the quality of fisheries stock assessment and pose great challeng...
The purpose of stock assessment is to support managers to provide intelligent decisions regarding re...
New methods for estimation of growth and mortality parameters, together with their error estimation...
Many decisions and assessments made by fisheries managers and researchers use estimates. The confide...
Abstract only.A major simplification in bioeconomic models is that the model parameters\ud and funct...