ICAR Research Data Repository for Knowledge Management
Modelling and forecasting fish catches : Comparison of regression, univariate and multivariate time series methods
CMFRI Repository
View Archive Info| Field | Value | |
| Relation |
http://eprints.cmfri.org.in/174/
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| Title |
Modelling and forecasting fish catches : Comparison of regression, univariate and multivariate time series methods |
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| Creator |
Venugopalan, R
Srinath, M |
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| Subject |
Estimation
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| Description |
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. |
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| Publisher |
CMFRI/ICAR
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| Date |
1998
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| Type |
Article
PeerReviewed |
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| Format |
application/pdf
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| Language |
en
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| Identifier |
http://eprints.cmfri.org.in/174/1/Article_03.pdf
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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