Skew binary regression with measurement errors

DOI10.1080/02331880600589270zbMath1120.62017OpenAlexW1974946380MaRDI QIDQ5423156

Heleno Bolfarine, Victor Hugo Lachos

Publication date: 22 October 2007

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331880600589270

zbMATH Keywords

maximum likelihood estimationMarkov chain Monte Carloposterior distribution

Mathematics Subject Classification ID

Point estimation (62F10) Bayesian inference (62F15) Linear inference, regression (62J99) Numerical analysis or methods applied to Markov chains (65C40)

Related Items (2)

An ECM Estimation Approach for Analyzing Multivariate Skew-Normal Data with Dropout ⋮ 2021 International Statistical Institute Mahalanobis Award: A Tribute to Heleno Bolfarine

Uses Software

• sn

Cites Work

• Pseudo maximum likelihood estimation: Theory and applications
• Weak nondifferential measurement error models
• Skew normal measurement error models
• On errors-in-variables for binary regression models
• Likelihood analysis for probit regression with measurement errors
• Flexible Parametric Measurement Error Models
• The Skew-normal Distribution and Related Multivariate Families*

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