Hostname: page-component-8448b6f56d-mp689 Total loading time: 0 Render date: 2024-04-17T08:21:13.402Z Has data issue: false hasContentIssue false
  • English
  • Français

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

Part of: Artificial intelligence (68Txx) Multivariate analysis Applications

Published online by Cambridge University Press:  25 November 2019

THONG NGUYEN-HUY Open the ORCID record for THONG NGUYEN-HUY [Opens in a new window]
THONG NGUYEN-HUY*
Affiliation:
Centre for Applied Climate Sciences, University of Southern Queensland, Toowoomba, Queensland 4350, Australia email thonghuy.nguyen@usq.edu.au
Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'

Keywords

multivariate analysiscopulaclimateagricultural riskinsurance

MSC classification

Primary: 62H12: Estimation
Secondary: 62P05: Applications to actuarial sciences and financial mathematics 62P12: Applications to environmental and related topics 68T10: Pattern recognition, speech recognition
Type
Abstracts of Australasian PhD Theses
Information
Bulletin of the Australian Mathematical Society , Volume 101 , Issue 1 , February 2020 , pp. 166 - 169
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

Nguyen-Huy, T., Deo, R. C., An-Vo, D., Mushtaq, S. and Khan, S., ‘Copula-statistical precipitation forecasting model in Australia’s agro-ecological zones’, Agric. Water Manag. 191 (2017), 153–172.10.1016/j.agwat.2017.06.010Google Scholar
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), 65–81.10.1016/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), 76–89.10.1016/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), 779–799.10.1007/s00477-019-01662-6Google Scholar