The inverse Gaussian distribution is a probability distribution that describes the likelihood of finding values close to the center of a data set.
It is named after the eighteenth-century mathematician and astronomer Carl Friedrich Gauss, who described it as a distribution in which most values are located near the middle of a data set, with fewer values spread out evenly around the outside.
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