Abstract
Auto-regressive integrated moving average (ARIMA) is one of the most popular models in time series data analysis. In the present study, total marine fish landings (quaterwise) in Odisha during the period 1985–2012 has been analysed to estimate the effect of possible intervention and also for short term forecasting by fitting ARIMA model in two situations: one by accounting for intervention in the model and the other with log transformed data. ARIMA model with log transformed data performed better than the model with intervention component based on Akaike information criterion and Bayesian information criterion of model selection. The model was used to forecast fish landings for the years 2013–2015.
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Acknowledgements
The authors are thankful to the Director, ICAR-Central Inland Fisheries Research Institute, Barrackpore, India and Director, ICAR-Central Marine Fisheries Research Institute, Kochi, India for extending the facilities and encouragement.
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Raman, R.K., Sathianandan, T.V., Sharma, A.P. et al. Modelling and Forecasting Marine Fish Production in Odisha Using Seasonal ARIMA Model. Natl. Acad. Sci. Lett. 40, 393–397 (2017). https://doi.org/10.1007/s40009-017-0581-2
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DOI: https://doi.org/10.1007/s40009-017-0581-2