Using regression mixture models with non-normal data: examining an ordered polytomous approach

DOI10.1080/00949655.2011.636363zbMath1431.62312OpenAlexW2075077782WikidataQ30628484 ScholiaQ30628484MaRDI QIDQ2862373

Katherine Masyn, George Howe, Jessalyn Smith, Thomas Jaki, Melissa R. W. George, M. Lee van Horn, Na Yang, Daniel J. Feaster

Publication date: 15 November 2013

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3653334

zbMATH Keywords

non-normal errorsdifferential effectsregression mixture models

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Generalized linear models (logistic models) (62J12)

Related Items (2)

Coverage probabilities of confidence intervals for the slope parameter of linear regression model when the error term is not normally distributed ⋮ A DIAGNOSTIC TOOL FOR CHECKING ASSUMPTIONS OF REGRESSION MIXTURE MODELS

Uses Software

• Unnamed Item

Cites Work

• A mixture likelihood approach for generalized linear models
• Extending the Akaike Information Criterion to Mixture Regression Models

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