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Mixed Shock Models
Vol. 7, No. 3 (Jun., 2001), pp. 541-555
Published by: International Statistical Institute (ISI) and the Bernoulli Society for Mathematical Statistics and Probability
Stable URL: http://www.jstor.org/stable/3318501
Page Count: 15
You can always find the topics here!Topics: Cumulativity, Mathematical theorems, Stopping distances, Random walk, Random variables, Random walk hypothesis, Markov processes, Law of large numbers, Perceptron convergence procedure
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Traditionally, shock models are of two kinds. The failure (of a system) is related either to the cumulative effect of a (large) number of shocks or it is caused by a shock which is larger than some critical level. The present paper is devoted to a mixed model, in which the system is supposed to break down either because of one (very) large shock, or as a result of many smaller ones.
Bernoulli © 2001 Bernoulli Society for Mathematical Statistics and Probability