Modelling and forecasting fish catches : Comparison of regression, univariate and multivariate time series methods
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Abstract
Three different statistical modelling procedures, viz. deterministic regressionmodelling, univariate time series and multivariate time series modellingapproaches were evaluated on the basis of their efficiency with a view tomodelling and providing accurate operational forecasts of the quarterlycommercial landings of seven species of marine fishes along with the totallandings of Tamil Nadu. The forecasts were based on the database of 1975-'96. Sound statistical techiques were utilised to select an appropriate model.The selected models were then used to forecast species-wise landings for thenext two more yearsDownloads
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Submitted
2011-08-10
Published
2017-03-31
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The copyright of the articles published in Indian Journal of Fisheries vests with the Indian Council of Agricultural Research, who has the right to enter into any agreement with any organization in India or abroad engaged in reprography, photocopying, storage and dissemination of information contained in these journals. The Council has no objection in using the material, provided the information is being utilized for academic purpose but not for commercial use. Due credit line should be given to the ICAR where information will be utilized.How to Cite
Venugopalan, R., & Srinath, M. (2017). Modelling and forecasting fish catches : Comparison of regression, univariate and multivariate time series methods. Indian Journal of Fisheries, 45(3), 227-237. https://epubs.icar.org.in/index.php/IJF/article/view/8704