Year: 2024
Type: article
Abstract: For the extended skew-normal distribution, which represents an extension of the normal (or Gaussian) distribution, we focus on the properties of the log-likelihood function and derived quantities in the bivariate case. Specifically, we derive explicit expressions for the score function and the information matrix, in the observed and the expected form; these do not appear to have been examined before in the literature. Ensuing numerical work illustrates some relevant aspects of the expected information matrix.
Source: METRON
Authors: Stefano Franco, Adelchi Azzalini
Institution: University of Padua
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,090
Funder: Università degli Studi di Padova
OpenAlex ID: W4403377461
