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Statistical modeling of maximum temperature in Guinea
Malick Kebe1, Saralees Nadarajah2
1Department of Mathematics, Howard University, Washington DC 20051, USA.
Abstract:
A statistical analysis of maximum temperature from twelve weather stations in parts of Guinea is provided. Using maximum likelihood estimation, maximum temperature data was fitted by the Generalized Extreme Value distribution. Data from all of the twelve stations were adequately fit by the Generalized Extreme Value distribution. Return level estimates are provided. Significant trends in maximum temperature were found for four of the stations. The four stations exhibited significant positive trends at the 5% significance level.
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