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Statistica Sinica 6(1996), 245-257


BOUNDS AND ESTIMATORS OF A BASIC CONSTANT IN

EXTREME VALUE THEORY OF GAUSSIAN PROCESSES


Qi-Man Shao


National University of Singapore


Abstract: Let be the constant in the extremal theorem for Gaussian processes. In this note a lower and upper bound as well as two statistical estimators of are given. Simulation results are also discussed. As a by-product of the proof, a more precise bound on the small ball probability of fractional Brownian motion is obtained.



Key words and phrases: Gaussian process, extremal theorem, small ball probability.



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