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The modeling of stochastic dependence is fundamental for understanding random systems evolving in time. When measured through linear correlation, many of these
Self-Similar Processes in Telecommunications
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For the first time the problems of voice services self-similarity are discussed systematically and in detail with specific examples and illustrations. Self-Simi
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Self-similar processes are stochastic processes that are invariant in distribution under suitable time scaling, and are a subject intensively studied in the las
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This book offers an introduction to the field of stochastic analysis of Hermite processes. These selfsimilar stochastic processes with stationary increments liv
Library of Congress Subject Headings
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