| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5129741 | Statistics & Probability Letters | 2017 | 4 Pages |
Abstract
In this note, we consider the maxima of payoffs for the generalized St. Petersburg game. The maxima for the original St. Petersburg game cannot be normalized to converge to a nondegenerate limit distribution. However, tuning the parameters appearing in the generalization, we show the normalized maxima converge to the Fréchet distribution.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Toshio Nakata,