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http://hdl.handle.net/1813/13342
| Title: | Understanding heavy tails in a bounded world or, is a truncated heavy tail heavy or not? |
| Authors: | Chakrabarty, Arijit Samorodnitsky, Gennady |
| Keywords: | heavy tails truncation regular variation Central Limit theorem Hill estimator, consistency |
| Issue Date: | 4-Aug-2009 |
| Abstract: | We address the important question of the extent to which random
variables and vectors with truncated power tails retain the
characteristic features of random variables and vectors with power
tails. We define two truncation regimes, soft truncation regime
and hard truncation regime, and show that, in the soft truncation
regime, truncated power tails behave, in important respects, as if
no truncation took place. On the other hand, in the had truncation
regime much of ``heavy tailedness'' is lost. We show how to
estimate consistently the tail exponent when the tails are
truncated, and suggest statistical tests to decide on whether the
truncation is soft or hard. Finally, we apply our methods to two
recent data sets arising from computer networks. |
| URI: | http://hdl.handle.net/1813/13342 |
| Appears in Collections: | ORIE Technical Reports
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