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Weibull distribution
Continuous probability distribution / From Wikipedia, the free encyclopedia
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In probability theory and statistics, the Weibull distribution /ˈwaɪbʊl/ is a continuous probability distribution. It models a broad range of random variables, largely in the nature of a time to failure or time between events. Examples are maximum one-day rainfalls and the time a user spends on a web page.
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Cumulative distribution function ![]() | |||
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Kullback–Leibler divergence | see below |
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The distribution is named after Swedish mathematician Waloddi Weibull, who described it in detail in 1939,[1] although it was first identified by René Maurice Fréchet and first applied by Rosin & Rammler (1933) to describe a particle size distribution.