Application of information theory-based decision support system for high precision modeling of the length-weight relationship (LWR) for five marine shrimps from the northwestern Bay of Bengal

Dash, Gyanaranjan and Dash, Swatipriyanka Sen and Pradhan, Rajesh Kumar and Ghosh, Shubhadeep and Josileen, Jose (2023) Application of information theory-based decision support system for high precision modeling of the length-weight relationship (LWR) for five marine shrimps from the northwestern Bay of Bengal. Regional Studies in Marine Science, 66. pp. 1-10. ISSN 2352 4855

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Abstract

The study was conducted to develop an information theory-based decision support system to understand the variance distribution structure of the data so that a proper modeling approach could be implemented to explain the relationship between the body length and weight of shrimps. Based on biological reasoning, initially, a log-normal multiplicative error structure was assumed and therefore, a log-linearized model was applied. Secondly, the support for normal additive error structure was assessed by fitting a weighted nonlinear model with a power variance structure (wNLM) to address the heteroscedasticity in shrimp weight. The likelihood support for the error structures was ascertained by comparing the

Item Type: Article
Uncontrolled Keywords: AIC; Likelihood; Akaike weight; Length–weight relationship; Model selection
Subjects: Crustacean Fisheries > Prawn and Prawn fisheries
Marine Fisheries > Trophic Modelling
Divisions: CMFRI-Digha
CMFRI-Kochi > Marine Capture > Crustacean Fisheries Division
Subject Area > CMFRI > CMFRI-Kochi > Marine Capture > Crustacean Fisheries Division
CMFRI-Kochi > Marine Capture > Crustacean Fisheries Division
Subject Area > CMFRI-Kochi > Marine Capture > Crustacean Fisheries Division
Depositing User: Arun Surendran
Date Deposited: 11 Jan 2024 07:32
Last Modified: 11 Jan 2024 07:32
URI: http://eprints.cmfri.org.in/id/eprint/17949

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