Timeline for What is the heaviest tail possible for a continuous normalizable distribution?
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jul 15, 2019 at 17:23 | comment | added | whuber♦ | That will teach me to read the axis labels more carefully! (+1). | |
| Jul 15, 2019 at 16:51 | comment | added | Chad Scherrer | "The function" is the function in the plot, the log of the complementary CDF as a function of log(x₀). As x₀→∞, this is required to go to -∞ (similar to the behavior shown for a Cauchy distribution). | |
| Jul 15, 2019 at 15:23 | comment | added | whuber♦ | Could you explain what you are referring to by "the function" and "the limit"? The function cannot be the PDF, obviously, but it cannot be the log PDF either, because there are many more constraints than the "only" one you claim. | |
| Jul 14, 2019 at 15:53 | history | answered | Chad Scherrer | CC BY-SA 4.0 |