The Method of Moments is a technique in probability theory and statistics used for estimating the parameters of a probability distribution by equating sample moments to theoretical moments derived from the distribution.
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If all moments of real random variables converge to those of a moment-determinate limit law, then the variables converge to that law in the sense of convergence in distribution. Moment determinacy is essential; the standard normal distribution meets this condition.