Statistical modelling in fisheries: A review


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Authors

  • Prajneshu Prajneshu Indian Agricultural Statistic Research Institute, New Delhi

Keywords:

Allometric, ARIMA time-series, Fisheries, Nonlinear time-series, Random environment, Statistical modelling, Surplus production models, Von Bertalanffy model

Abstract

Statistical modelling plays a very important role in understanding relationships among variables in fisheries and also in efficient fishery management. In this review article, its current status is discussed for four subareas. viz. length-weight relationship, age-length relationship, fish production and export over time, and catch-effort relationship. Sorue future research problelms in: Fuzzy methodiology, Nonlinear time-series analysis, Growth models in random environment, and Multispecies fish modelling, are also outlined.

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Submitted

2011-08-24

Published

2005-08-05

Issue

Vol. 75 No. 8 (2005)

Section

Review Article

License

The copyright of the articles published in The Indian Journal of Animal Sciences is vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR.

How to Cite

Prajneshu, P. (2005). Statistical modelling in fisheries: A review. The Indian Journal of Animal Sciences, 75(8). https://epubs.icar.org.in/index.php/IJAnS/article/view/9463