The Saddlepoint approximation is a statistical technique used to provide accurate approximations to the distribution of a random variable, particularly in the context of large sample sizes. It is particularly useful when dealing with difficult-to-compute distributions, such as those arising from complex statistical models or when asymptotic properties of estimators are needed.
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