The exponential-centred skew-normal distribution

Guillermo Martínez-Flórez, Carlos Barrera-Causil, Fernando Marmolejo-Ramos

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)
11 Downloads (Pure)

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 languageEnglish
Article number1140
Number of pages15
JournalSymmetry
Volume12
Issue number7
DOIs
Publication statusPublished - Jul 2020
Externally publishedYes

Keywords

  • Ex-Gaussian distribution
  • Maximum likelihood estimation
  • Moments
  • Observed information matrix
  • Reaction times
  • Score function
  • Skew-normal distribution

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