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 |
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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