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Extremes of Random Processes in Applied Probability: A Workshop Sponsored by the U.S. National Science Foundation at the Statistics and Applied Probability Program, University of California, Santa Barbara, 22–26 June 1987
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- 01 July 2016, pp. 1-2
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Invited Papers
A survey of recent results on extremes of various kinds of stochastic processes
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- 01 July 2016, pp. 2-3
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1. Failure models via extreme value theory
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- 01 July 2016, p. 3
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2. Inequalities in extreme value theory
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- 01 July 2016, p. 4
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1. Extreme values and asymptotic inference in non-regular cases
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- 01 July 2016, p. 4
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2. A miscellanea of asymptotic results concerning maxima for stochastic processes
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- 01 July 2016, p. 4
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1. Extreme value theory, ancient and modem: a line of development
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- 01 July 2016, p. 4
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2. High level excursions by continuous-time processes
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- 01 July 2016, pp. 4-5
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Quantile-based unified theory of extreme values and order statistics
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- 01 July 2016, p. 5
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1. Weak and almost sure convergence of convex hulls of multivariate samples
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- 01 July 2016, p. 5
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2. Moving averages: convolutions of distributions which are both subexponential and in a domain of attraction of an extreme value law
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- 01 July 2016, p. 5
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1. The size etfect: static strength models
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- 01 July 2016, pp. 5-6
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2. The size effect: time-to-fallure models
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- 01 July 2016, p. 6
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1. Extremal processes: basic statistical decision results
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- 01 July 2016, pp. 6-7
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2. Stochastic processes of extremes: definitions and statistics
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- 01 July 2016, p. 7
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1. Large deviations of tail estimators based on the pareto approximation
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- 01 July 2016, pp. 7-8
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2. A survey of results on extremes of independent non-identically distributed random variables
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- 01 July 2016, p. 8
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Contributed Papers
On a open problem of D. Mejzler
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- 01 July 2016, pp. 8-9
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Extreme value theory for processes with periodic variances
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- 01 July 2016, p. 9
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Second-order asymptotics for (some) extremes
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- 01 July 2016, p. 9
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