Previous work on the joint asymptotic distribution of the sum and maxima of Gaussian processes is extended here. In particular, it is shown that for a stationary sequence of standard normal random variables with correlation function r , the condition r ( n )ln n = o (1) as n → ∞ suffices to establish the asymptotic independence of the sum and maximum.
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McCormick et al. (2000) studied this question.
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