Abstract
The problem of deciding whether the mean of an unknown distribution is in a set A or in its complement based on a sequence of independent random variables drawn according to this distribution is considered. We propose an algorithm which leads to an a.s. correct decision for any A in a class of sets satisfying certain structural assumptions. This class includes not only all countable sets, but many uncountable sets as well. A refined decision procedure is also presented which, given a countable decomposition of A, can determine a.s. to which set of the decomposition the mean belongs. This extends and simplifies a construction by Cover.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 323-327 |
| Number of pages | 5 |
| Journal | Statistics and Probability Letters |
| Volume | 12 |
| Issue number | 4 |
| DOIs | |
| State | Published - Oct 1991 |
| Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Statistics, Probability and Uncertainty
Keywords
- Cramer's theorem
- Hypothesis testing
- empirical measure