Sensitivity analysis of a state space fish stock assessment model compared to conventional approaches

Senadeera, Prageeth (2019) Sensitivity analysis of a state space fish stock assessment model compared to conventional approaches. Masters thesis, Memorial University of Newfoundland.

[img] [English] PDF - Accepted Version
Available under License - The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission.

Download (11MB)


Surplus production models provide simple analytical methods of assessing fish populations by taking the annual biomass, the growth rate and the carrying capacity into account. However, these simple models may not adequately reflect fish stock dynamics that can be substantially more complex with age and length specific birth, growth, and death processes at play. To account for this, process errors can be included in the production model in a state-space modelling framework, which is used frequently in ecological modelling in recent years. In this study, we compare the sensitivity of estimators of state-space and conventional non-linear production models (without process errors) using both the traditional case deletion diagnostic method and the local influence analysis method introduced by R.D. Cook, 1986 [12]. We apply these diagnostics to different fish stocks to assess how estimated parameters respond to small perturbations of the data.

Item Type: Thesis (Masters)
Item ID: 13756
Additional Information: Includes bibliographical references (pages 107-110).
Keywords: Stock Assessment, Sensitivity Analysis
Department(s): Science, Faculty of > Mathematics and Statistics
Date: January 2019
Date Type: Submission
Library of Congress Subject Heading: Fish populations--Measurement; Fish populations--Mathematical models; State-space methods

Actions (login required)

View Item View Item


Downloads per month over the past year

View more statistics