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 |
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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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