The information matrix of the bivariate extended skew-normal distribution

09/19/2023
by   Stefano Franco, et al.
0

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 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. Corresponding computing code in R language is provided, which implements the formal expressions.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/01/2022

On Some Properties of the Beta Normal Distribution

The beta normal distribution is a generalization of both the normal dist...
research
07/17/2020

Computing the Dirichlet-Multinomial Log-Likelihood Function

Dirichlet-multinomial (DMN) distribution is commonly used to model over-...
research
03/03/2020

Gauss and the identity function – a tale of characterizations of the normal distribution

The normal distribution is well-known for several results that it is the...
research
05/31/2021

On some properties of the bimodal normal distribution and its bivariate version

In this work, we derive some novel properties of the bimodal normal dist...
research
08/26/2020

The polar-generalized normal distribution

This paper introduces an extension to the normal distribution through th...
research
10/31/2015

Formal Solutions of Completely Integrable Pfaffian Systems With Normal Crossings

In this paper, we present an algorithm for computing a fundamental matri...

Please sign up or login with your details

Forgot password? Click here to reset