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- W1972775548 abstract "A record is an entry in a time series that is larger or smaller than all previous entries. If the time series consists of independent, identically distributed random variables with a superimposed linear trend, record events are positively (negatively) correlated when the tail of the distribution is heavier (lighter) than exponential. Here we use these correlations to detect heavy-tailed behavior in small sets of independent random variables. The method consists of converting random subsets of the data into time series with a tunable linear drift and computing the resulting record correlations." @default.
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- W1972775548 date "2012-02-07" @default.
- W1972775548 modified "2023-09-25" @default.
- W1972775548 title "Correlations of Record Events as a Test for Heavy-Tailed Distributions" @default.
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- W1972775548 doi "https://doi.org/10.1103/physrevlett.108.064101" @default.
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