Abstract
Data from some research fields tend to exhibit a positive skew. For example, in experimental psychology, reaction times (RTs) are characterised as being positively skewed. However, it is not unlikely that RTs can take a normal or, even, a negative shape. While the Ex-Gaussian distribution is suitable to model positively skewed data, it cannot cope with negatively skewed data. This manuscript proposes a distribution that can deal with both negative and positive skews: the exponential-centred skew-normal (ECSN) distribution. The mathematical properties of the proposed distribution are reported, and it is featured in two non-synthetic datasets.
| Original language | English |
|---|---|
| Article number | 1140 |
| Number of pages | 15 |
| Journal | Symmetry |
| Volume | 12 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - Jul 2020 |
| Externally published | Yes |
Keywords
- Ex-Gaussian distribution
- Maximum likelihood estimation
- Moments
- Observed information matrix
- Reaction times
- Score function
- Skew-normal distribution