Adjustments of probability distribution functions to maximum air temperature in Rio Grande do Sul State, Brazil
Abstract
The objective of this work was to verify the adjustment of data series for maximum air temperature average for ten days-period to the probability distribution functions normal, log-normal, gamma, gumbel and weibull. Data were collected from twenty three cities in Rio Grande do Sul State, Brazil. The Kolmogorov-Smirnov test was applied to the 828 series of data (23 localites x 36 periods of ten days) of maximum air temperature average for ten days-period to verify the adjustment of the data to the probability distributions normal, log-normal, gamma, gumbel and weibull, totalizing 4,140 tests. The data maximum air temperature average for ten days-period adjusted to the probability distributions functions normal, log-normal, gamma, gumbel and weibull, and present a better adjustment to the normal probability function.
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