Probability: Difference between revisions

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===Exponential Distribution===
===Exponential Distribution===
* <math>\operatorname{Exp}(\lambda)</math> is equivalent to <math>\Gamma(1, 1/\lambda)</math>
** Note that some conventions flip the second parameter of gamma, so it would be <math>\Gamma(1, \lambda)</math>
* If <math>\epsilon_1, ..., \epsilon_n</math> are exponential distributions then <math>\min\{\epsilon_i\} \sim \exp(\sum \lambda_i)</math>
* If <math>\epsilon_1, ..., \epsilon_n</math> are exponential distributions then <math>\min\{\epsilon_i\} \sim \exp(\sum \lambda_i)</math>
* Note that the maximum is not exponentially distributed
* Note that the maximum is not exponentially distributed