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COPULA-BASED STATISTICAL MODELLING OF SYNOPTIC-SCALE CLIMATE INDICES FOR QUANTIFYING AND MANAGING AGRICULTURAL RISKS IN AUSTRALIA

Published online by Cambridge University Press:  25 November 2019

THONG NGUYEN-HUY*
Affiliation:
Centre for Applied Climate Sciences, University of Southern Queensland, Toowoomba, Queensland 4350, Australia email [email protected]
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Abstract

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Type
Abstracts of Australasian PhD Theses
Copyright
© 2019 Australian Mathematical Publishing Association Inc. 

Footnotes

Thesis submitted to the University of Southern Queensland in August 2018; degree approved on 11 February 2019; principal supervisor Ravinesh Deo, associate supervisors Shahbaz Mushtaq and Shahjahan Khan.

References

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Nguyen-Huy, T., Deo, R. C., Mushtaq, S., An-Vo, D. and Khan, S., ‘Modeling the joint influence of multiple synoptic-scale, climate mode indices on Australian wheat yield using a vine copula-based approach’, Eur. J. Agron. 98 (2018), 6581.10.1016/j.eja.2018.05.006Google Scholar
Nguyen-Huy, T., Deo, R. C., Mushtaq, S., Kath, J. and Khan, S., ‘Copula-based agricultural conditional value-at-risk modelling for geographical diversifications in wheat farming portfolio management’, Weather Clim. Extremes 21 (2018), 7689.10.1016/j.wace.2018.07.002Google Scholar
Nguyen-Huy, T., Deo, R. C., Mushtaq, S., Kath, J. and Khan, S., ‘Copula statistical models for analyzing stochastic dependencies of systemic drought risk and potential adaptation strategies’, Stoch. Environ. Res. Risk Assess. 33 (2019), 779799.10.1007/s00477-019-01662-6Google Scholar