Abstract
Let X(t), t ≧ 0, be a stationary Gaussian process with zero mean, unit variance and continuous covariance function r(t). Suppose that, for some ε > 0
so that there is a version of the process whose sample functions are continuous [1].
Publisher
Cambridge University Press (CUP)
Subject
Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability
Reference5 articles.
1. Some Limit Theorems for Random Functions. I
2. Asymptotic normality of the number of crossings of the zero level by a Gaussian process;Malevic;Teor. Veroyat. Primen.,1969
Cited by
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