Response modeling methodology (RMM)-maximum likelihood estimation procedures

DOI10.1016/j.csda.2004.07.006zbMath1429.62326OpenAlexW1995722643MaRDI QIDQ957289

Haim Shore

Publication date: 26 November 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2004.07.006

zbMATH Keywords

canonical correlation analysisgeneralized linear modelsresponse modeling methodology

Mathematics Subject Classification ID

Measures of association (correlation, canonical correlation, etc.) (62H20) Generalized linear models (logistic models) (62J12)

Related Items (2)

Modeling fetal-growth biometry with Response Modeling Methodology (RMM) and comparison to current models ⋮ Distribution Fitting with Response Modeling Methodology (RMM) — Some Recent Results

Uses Software

• ARC

Cites Work

• Modelling a non-normal response for quality improvement
• RESPONSE MODELING METHODOLOGY (RMM)—EXPLORING THE PROPERTIES OF THE IMPLIED ERROR DISTRIBUTION
• General control charts for variables
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