Wavelet smoothing based FAR model for monthly tuna catches foercasting

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

In this paper, the aim is to apply a functional autoregressive (FAR) model combined with wavelet smoothing analysis for monthly bigeye tuna catches forecasting in the equatorial Indian ocean. The raw monthly tuna catches data is smoothed by using discrete stationary wavelet transform and then appropriate is used as inputs to the FAR model. We find that the proposed forecasting strategy achieves 97% of the explained variance with reduced parsimony and high accuracy.

Idioma originalInglés
Título de la publicación alojada2009 2nd International Conference on Future Information Technology and Management Engineering, FITME 2009
Páginas389-391
Número de páginas3
DOI
EstadoPublicada - 2009
Publicado de forma externa
Evento2009 2nd International Conference on Future Information Technology and Management Engineering, FITME 2009 - Sanya, China
Duración: 13 dic. 200914 dic. 2009

Serie de la publicación

Nombre2009 2nd International Conference on Future Information Technology and Management Engineering, FITME 2009

Conferencia

Conferencia2009 2nd International Conference on Future Information Technology and Management Engineering, FITME 2009
País/TerritorioChina
CiudadSanya
Período13/12/0914/12/09

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