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k 1; 2; . . . . Corollary 8.3.3. If a random process ck;j i is independent of tk;j and stationary, then a process Y . . . ; Y 1 ; Y0 ; Y1 ; . . . de ned by Eq. (8.11), with nite mean m EYt < I and variance s2 Var Yt < I, will be exactly second-order selfsimilar with parameter 0 < b < 1, if s2 rc k m2 Prft0;1 > kg c c
6
8:24
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