Dunn, Peter K. and White, Neil (2005) Power-variance models for modelling rainfall. In: 20th International Workshop on Statistical Modelling, 10 - 15 July 2005, Sydney, Australia.
Modelling rainfall presents difficulties: one is that rainfall is both continuous and discrete. The discrete component corresponds to exactly zero rainfall. Some researchers circumvent this by using two models - one for determining the presence and absence of rainfall, another for the rainfall amount. Here, we use power-variance (Tweedie) generalized linear models, which can explictly model continuous data with exact zeros. We demonstrate there is a basis for using these models; that the parameters, in some cases, lend themselves to a useful interpretation; and show the models fit the data well using monthly rainfall data from Charleville. We then model Australian annual rainfall, and develop a contour map for the power-variance model index parameter.
|Item Type:||Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)|
|Uncontrolled Keywords:||Tweedie model, rainfall, generalized linear model, power-variance models.|
|Subjects:||230000 Mathematical Sciences > 230100 Mathematics
260000 Earth Sciences > 260600 Atmospheric Sciences > 260601 Meteorology
290000 Engineering and Technology > 291100 Environmental Engineering > 291101 Environmental Engineering Modelling
|Depositing User:||epEditor USQ|
|Date Deposited:||11 Oct 2007 00:28|
|Last Modified:||02 Jul 2013 22:33|
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