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Excerpt from A Convergence Theorem for Extreme Values From Gaussian Sequences
A double exponential limit law is known to hold for Mn if the random variables Xi are mutually independent, that is rn Q 0, n 0. Berman [2.
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A Convergence Theorem for Extreme Values From Gaussian Sequences
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Paperback. Zustand: New. Print on Demand. This book presents a mathematical analysis of certain statistical phenomena that arise when examining extreme values, specifically focusing on values drawn from Gaussian processes. The author demonstrates that the limiting behavior of the maximum and second largest random variables in these sequences exhibits a pattern that involves a double exponential distribution. Furthermore, this limit law holds true under weaker conditions than previously thought, relaxing the requirement for strong mixing assumptions. The book explores conditions under which joint convergence of the maximum and second largest random variables occurs, expanding upon existing theorems in the field. The results presented are applicable to various areas of study involving extreme value theory and Gaussian processes, offering valuable insights into the behavior of these phenomena. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Bestandsnummer des Verkäufers 9781334018343_0
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A Convergence Theorem for Extreme Values from Gaussian Sequences (Classic Reprint)
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A Convergence Theorem for Extreme Values from Gaussian Sequences (Classic Reprint)
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers LW-9781334018343
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