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The method of moments is one of the simplest and most intuitive methods to fit the parameters of a probability distribution from data. In the method of moments, we approximate the moments of the distribution in terms of sample data (e.g., sample mean, sample variance, etc.), and then use these moments to solve for the unknown parameters (e.g ...
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