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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Ferreira, N. B., Manuela Oliveira, JW & AMC (2016). Predicting revenue efficiency of the Portuguese artisanal dredge fishery using external factors. TBTI Symposium on European Small - Scale Fisheries and Global Linkages June 29-July 1.
Exportar Referência (IEEE) 
N. R. Ferreira et al.,  "Predicting revenue efficiency of the Portuguese artisanal dredge fishery using external factors", in TBTI Symp. on European Small - Scale Fisheries and Global Linkages June 29-July 1, Tenerife, 2016
Exportar BibTeX 
@misc{ferreira2016_1732203488687,
	author = "Ferreira, N. B. and Manuela Oliveira and JW and AMC",
	title = "Predicting revenue efficiency of the Portuguese artisanal dredge fishery using external factors",
	year = "2016",
	howpublished = "Outro",
	url = "http://toobigtoignore.net/tbti-symposium-on-europea n-small-scale-fisheries-and-global-linkages/"
}
Exportar RIS 
TY  - CPAPER
TI  - Predicting revenue efficiency of the Portuguese artisanal dredge fishery using external factors
T2  - TBTI Symposium on European Small - Scale Fisheries and Global Linkages June 29-July 1
AU  - Ferreira, N. B.
AU  - Manuela Oliveira
AU  - JW
AU  - AMC
PY  - 2016
CY  - Tenerife
UR  - http://toobigtoignore.net/tbti-symposium-on-europea n-small-scale-fisheries-and-global-linkages/
AB  - Multidisciplinary scientific teams worldwide have tried, unsuccessfully, to explain the phytotoxins’ episodes. In the absence of an accurate system to predict these phenomena, and as a way to foresee compulsory closures for the Portuguese artisanal dredge fishery, the goal of this analysis is to characterize the relationship between phytotoxins’ episodes and several external factors such as: weather conditions, tourism and levels of revenue efficiency. Time series data characterising seawater temperature, air temperature, wave height, presence of phytotoxins, and levels of tourism will be used to model the relationship between revenue efficiency levels and the evolution of these external factors over the time. Data mining and Stochastic Frontier Analysis techniques will allow identifying appropriate models, able to predict the likelihood of revenue efficiency for given weather conditions, phytotoxins’ episodes and tourism occupancy rates.
ER  -