Convergence rates for record times and the associated counting process
Let X1, X2,... be independent random variables with a common continuous distribution function. Rates of convergence in limit theorems for record times and the associated counting process are established. The proofs are based on inversion, a representation due to Williams and random walk methods.
Year of publication: |
1990
|
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Authors: | Gut, Allan |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 36.1990, 1, p. 135-151
|
Publisher: |
Elsevier |
Keywords: | i.i.d. random variables continuous distribution function record time counting process inversion strong law central limit theorem remainder term estimate law of the iterated logarithm convergence rate |
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