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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/59216
Title: | Modelling and forecasting fish catches : Comparison of regression, univariate and multivariate time series methods |
Other Titles: | Not Available |
Authors: | Srinath,M Venugopalan,R |
ICAR Data Use Licennce: | Not Available |
Author's Affiliated institute: | Not Available |
Published/ Complete Date: | 1998 |
Project Code: | Not Available |
Keywords: | modelling forecasting fisheries statistics |
Publisher: | CMFRI/ICAR |
Citation: | Not Available |
Series/Report no.: | Not Available |
Abstract/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. |
Description: | Not Available |
Type(s) of content: | Article |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Indian Journal of Fisheries |
Volume No.: | 45 |
Page Number: | 227-237 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | http://eprints.cmfri.org.in/174/1/Article_03.pdf |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/59216 |
Appears in Collections: | FS-CMFRI-Publication |
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