Modelling of extreme minimum rainfall using generalised extreme value distribution for Zimbabwe
Delson Chikobvu; Retius Chifurira · 2015 · South African Journal of Science
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
We modelled the mean annual rainfall for data recorded in Zimbabwe from 1901 to 2009. Extreme value theory was used to estimate the probabilities of meteorological droughts. Droughts can be viewed as extreme events which go beyond and/or below normal rainfall occurrences, such as exceptionally low mean annual rainfall. The duality between the distribution of the minima and maxima was exploited and used to fit the generalised extreme value distribution (GEVD) to the data and hence find probabilities of extreme low levels of mean annual rainfall. The augmented Dickey Fuller test confirmed that r
Abstract by Delson Chikobvu; Retius Chifurira, South African Journal of Science (2015) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.17159/sajs.2015/20140271