In statistics, inverse-variance weighting is a method of aggregating two or more random variables to minimize the variance of the sum. Each random variable in the sum is weighted in inverse proportion to its variance.
Given a sequence of observations yi with independent variances σi2, the inverse-variance weighted sum is given by
Inverse-variance weighting is typically used in statistical meta-analysis to combine the results from independent studies.
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