Likelihood-based inference for censored linear regression models with scale mixtures of skew-normal distributions

DOI10.1080/02664763.2017.1408788OpenAlexW2771504110MaRDI QIDQ5036471

Victor Hugo Lachos, Aldo M. Garay, Thalita do Mattos Bem

Publication date: 23 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2017.1408788

zbMATH Keywords

heavy tailsSAEM algorithmscale mixtures of skew-normal distributionscensored regression models

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Related Items (5)

Mixture of linear experts model for censored data: a novel approach with scale-mixture of normal distributions ⋮ Likelihood-based inference for the multivariate skew-\(t\) regression with censored or missing responses ⋮ Unnamed Item ⋮ An overview on the progeny of the skew-normal family -- a personal perspective ⋮ Linear censored regression models with skew scale mixtures of normal distributions

Uses Software

• R
• SMNCensReg
• astrodatR

Cites Work

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