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A simple illustration the weighted mean

A vector x of n random variables has been measured m times, the ith measurement resulting in an estimate of the mean value x, and of the covariance matrix St. A best estimate Jt of the pooled ( weighted ) average makes the sum of squared statistical distances to each x minimum. The scalar expression [Pg.285]

As a special case, replacing matrices and vectors by scalars, the case n = 1 reduces to the well-known weighted average [Pg.287]

From the definition of variance and correlation coefficient and equation (4.2.18), we find that the covariance matrix is [Pg.287]

The standard error matrix of the weighted average is calculated from equation (5.4.6) as [Pg.288]


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Weighted mean

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