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Evaluation of the predictability of fishing forecasts using information theory
Title: | Evaluation of the predictability of fishing forecasts using information theory |
Authors: | Baba, Shinya Browse this author | Matsuishi, Takashi Browse this author →KAKEN DB |
Keywords: | Fishing forecast | Forecast evaluation | Information theory | Mutual information | Pacific saury | Relative entropy |
Issue Date: | May-2014 |
Publisher: | Springer |
Journal Title: | Fisheries Science |
Volume: | 80 |
Issue: | 3 |
Start Page: | 427 |
End Page: | 434 |
Publisher DOI: | 10.1007/s12562-014-0736-8 |
Abstract: | The catch forecast is important for fisheries activities. Previous research has tried to improve forecast accuracy. However the forecast accuracy does not directly correspond to the forecast benefit, and an inaccurate forecast could be more beneficial than accurate one. Herein as part of the forecast utility, predictability was evaluated using information theory. Mutual information (MI) was used as index of predictability. MI denotes a reduction in uncertainty when a forecast is taken into account. Adding this, hit ratio (HR) and relative entropy (R) were used as consistency indices. HR denotes a frequency for which the predicted values are consistent with the actual values, and R denotes the distance of the probability distribution between the actual and forecasted fishing conditions. As an application, the long-term change-ratio forecasts in 1972-2009 (n = 36), short-term change-ratio forecasts (n = 34), and short-term level forecasts (n = 33) in 2004-2009 of Pacific saury Cololabis saira fishery were evaluated. The order of MI, HR, and R varied between these forecasts, indicating that forecast predictability and consistency do not correspond. Monitoring multiple indices would improve forecasting systems. |
Rights: | The original publication is available at www.springerlink.com |
Type: | article (author version) |
URI: | http://hdl.handle.net/2115/58420 |
Appears in Collections: | 水産科学院・水産科学研究院 (Graduate School of Fisheries Sciences / Faculty of Fisheries Sciences) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 松石 隆
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