Inference and Local Influence Assessment in a Multifactor Skew-Normal Linear Mixed Model

Inference and Local Influence Assessment in a Multifactor Skew-Normal Linear Mixed Model

This work considers a multifactor linear mixed model under heteroscedasticity in random-effect factors and the skew-normal errors for modeling the correlated datasets. We implement an expectation–maximization (EM) algorithm to achieve the maximum likelihood estimates using conditional distributions...

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Bibliographic Details
Main Authors: Zeinolabedin Najafi, Karim Zare, Mohammad Reza Mahmoudi, Soheil Shokri, Amir Mosavi
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Mathematics
Subjects:
EM algorithm
expectation–maximization algorithm
heteroscedasticity
Monte Carlo simulation
random effects
skew-normal
Online Access:https://www.mdpi.com/2227-7390/10/15/2820

Internet

https://www.mdpi.com/2227-7390/10/15/2820

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