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Statistical modelling of recent changes in extreme rainfall in Taiwan
Lan Fen Chu; McAleer, Michael; Wang, Szu-Hua - 2013
Persistent link: https://www.econbiz.de/10009724146
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Statistical Modelling of Extreme Rainfall in Taiwan
Chu, Lan-Fen; McAleer, Michael; Chang, Ching-Chung - 2013
In this paper, the annual maximum daily rainfall data from 1961 to 2010 are modelled for 18 stations in Taiwan. We fit … based on the record-high (ranked 1st) extreme rainfall brought by the top 10 typhoons for each station in Taiwan. The … extreme rainfall in the southern region is greater than in the eastern region of Taiwan. In addition, the Keelung, Anbu …
Persistent link: https://www.econbiz.de/10010326140
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Statistical Modelling of Recent Changes in Extreme Rainfall in Taiwan
Chu, Lan-Fen; McAleer, Michael; Wang, Szu-Hua - Institute of Economic Research, Kyoto University - 2012
Taiwan, and detect the changes between the two phases for extreme rainfall. The non-stationary model means that the location … generalized extreme value distributions to model extreme rainfall in Taiwan. …
Persistent link: https://www.econbiz.de/10010860073
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Statistical Modeling of Recent Changes in Extreme Rainfall in Taiwan
Chu, Lan-Fen; McAleer, Michael; Wang, Szu-Hua - Department of Economics and Finance, College of … - 2012
Taiwan, and detect the changes between the two phases for extreme rainfall. The non-stationary model means that the location … generalized extreme value distributions to model extreme rainfall in Taiwan. …
Persistent link: https://www.econbiz.de/10010907448
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Statistical Modelling of Recent Changes in Extreme Rainfall in Taiwan
McAleer, Michael; Chu, Lan-Fen; Wang, Szu-Hua - Facultad de Ciencias Económicas y Empresariales, … - 2012
Taiwan, and detect the changes between the two phases for extreme rainfall. The non-stationary model means that the location … generalized extreme value distributions to model extreme rainfall in Taiwan. …
Persistent link: https://www.econbiz.de/10010778688
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Statistical Modelling of Recent Changes in Extreme Rainfall in Taiwan
Chu, Lan-Fen; McAleer, Michael; Wang, Szu-Hua - Tinbergen Instituut - 2012
Taiwan, and detect the changes between the two phases for extreme rainfall. The non-stationary model means that the location … generalized extreme value distributions to model extreme rainfall in Taiwan. …
Persistent link: https://www.econbiz.de/10011256727
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Statistical Modelling of Extreme Rainfall in Taiwan
Chu, Lan-Fen; McAleer, Michael; Chang, Ching-Chung - Department of Economics and Finance, College of … - 2013
In this paper, the annual maximum daily rainfall data from 1961 to 2010 are modelled for 18 stations in Taiwan. We fit … based on the record-high (ranked 1st) extreme rainfall brought by the top 10 typhoons for each station in Taiwan. The … extreme rainfall in the southern region is greater than in the eastern region of Taiwan. In addition, the Keelung, Anbu …
Persistent link: https://www.econbiz.de/10010907401
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Statistical Modelling of Extreme Rainfall in Taiwan
Chu, Lan-Fen; McAleer, Michael; Chang, Ching-Chung - Tinbergen Instituut - 2013
In this paper, the annual maximum daily rainfall data from 1961 to 2010 are modelled for 18 stations in Taiwan. We fit … based on the record-high (ranked 1st) extreme rainfall brought by the top 10 typhoons for each station in Taiwan. The … extreme rainfall in the southern region is greater than in the eastern region of Taiwan. In addition, the Keelung, Anbu …
Persistent link: https://www.econbiz.de/10011255813
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Statistical modelling of extreme rainfall in Taiwan
Lan Fen Chu; McAleer, Michael; Chang, Ching-chung - 2013
Persistent link: https://www.econbiz.de/10009724123
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Pollution and Weather Trade-offs for Endurance Events
Nath, Purnendu - 2021
This paper addresses the trade-off between unfavourable air pollution levels and favourable weather conditions for selecting a date for the staging of an outdoor event. For an event date that has been fixed, it presents a personal preference-based data-driven decision framework for individual...
Persistent link: https://www.econbiz.de/10013213886