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

Venugopalan, R and Srinath, M (1998) Modelling and forecasting fish catches : Comparison of regression, univariate and multivariate time series methods. Indian Journal of Fisheries, 45 (3). pp. 227-237.

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    Abstract

    Three different statistical modelling procedures, viz. deterministic regression modelling, univariate time series and multivariate time series modelling approaches were evaluated on the basis of their efficiency with a view to modelling and providing accurate operational forecasts of the quarterly commercial landings of seven species of marine fishes along with the total landings 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 the next two more years.

    Item Type: Article
    Uncontrolled Keywords: modelling; forecasting; fisheries statistics
    Subjects: Marine Fisheries > Estimation
    Divisions: CMFRI-Kochi > Marine Capture > Fishery Resource Assessment
    Subject Area > CMFRI Brochures > CMFRI-Kochi > Marine Capture > Fishery Resource Assessment
    CMFRI-Kochi > Marine Capture > Fishery Resource Assessment
    Depositing User: Dr. V Mohan
    Date Deposited: 17 Mar 2010 04:46
    Last Modified: 09 Sep 2015 15:05
    URI: http://eprints.cmfri.org.in/id/eprint/174

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