G., Sunilkumar (2008) Modelling and forecasting the marine fish production of India. Indian Journal of Fisheries, Vol.55 (4). pp. 291-294. ISSN 0970-6011
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The newly emerging area of ''Wavelet analysis'' is thoroughly discussed along with its modification through different thresholding procedures. As an illustration, the methodology is applied to model and forecast country’s marine fish production data during 1971 to 2002 using S-PLUS Wavelet toolkit. Presence of autocorrelation for residuals is detected by Durbin- Watson test. Subsequently, Wavelet with data-dependent thresholding as well as other approaches, viz., Box-Jenkins ARIMAand non-parametric regression techniques, are also applied to the data. Comparison, on the basis of mean square errors, shows superiority of Wavelet procedure over Box-Jenkins ARIMA and non-parametric regression method for data under consideration. Finally, forecast of country’s marine fish production for the year 2003 is obtained through Wavelet methodology.
| Item Type: | Articles |
|---|---|
| Keywords: | India, Marine Fisheries, Catch, Methodology |
| Subjects: | Right to Resources |
| Depositing User: | Chitti Babu ICSF |
| Date Deposited: | 21 Mar 2022 10:49 |
| Last Modified: | 21 Mar 2022 10:49 |
| URI: | http://icsfarchives.net/id/eprint/11012 |
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