Random matrix theory
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The function MnEigenvalueSpreadsForRandomMatrices
returns an array containing the for the limiting case
where is large. It takes as
inputs the eigenvalues and a value for (which
is not necessarily integral, to cater for the possibility that the effective
number of observations is less than the actual number, e.g. if observations for
different time periods are given different weights).
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