Abstract
Based on the work of Curtiss (1943), Bar-Lev and Enis (1988) presented a proposition providing easily verifiable conditions under which a variance stabilizing and normalizing transformation can be obtained. Here, a proof of that proposition is given, along with a more detailed discussion of this problem. In addition, several examples illustrating the ease of applicability of these conditions are provided and a number of classes of variance stabilizing transformations are presented.
| Original language | English |
|---|---|
| Pages (from-to) | 95-100 |
| Number of pages | 6 |
| Journal | Statistics and Probability Letters |
| Volume | 10 |
| Issue number | 2 |
| DOIs | |
| State | Published - Jul 1990 |
Keywords
- Limiting distributions
- variance stabilizing transformations
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty