Modelling and forecasting fish catches : Comparison of regression, univariate and multivariate time series methods


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Authors

  • R Venugopalan Central Marine Fisheries Research Institute, Cochin - 682 014, India
  • M Srinath Central Marine Fisheries Research Institute, Cochin - 682 014, India

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 years

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Author Biographies

  • R Venugopalan, Central Marine Fisheries Research Institute, Cochin - 682 014, India
    Central Marine Fisheries Research Institute, Cochin - 682 014, India
  • M Srinath, Central Marine Fisheries Research Institute, Cochin - 682 014, India
    Central Marine Fisheries Research Institute, Cochin - 682 014, India 

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Submitted

2011-08-10

Published

2017-03-31

Issue

Section

Articles

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