RESPONSE MODELING METHODOLOGY (RMM)—EXPLORING THE PROPERTIES OF THE IMPLIED ERROR DISTRIBUTION

DOI10.1081/STA-120017223zbMath1075.62664OpenAlexW2001983492MaRDI QIDQ4449096

Haim Shore

Publication date: 4 February 2004

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1081/sta-120017223

zbMATH Keywords

Generalized linear modelsNon-linear regressionDistribution fittingInverse normalizing transformationResponse modeling methodology

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Applications of statistics (62P99) Statistical distribution theory (62E99)

Related Items (2)

Response modeling methodology (RMM)-maximum likelihood estimation procedures ⋮ Accurate RMM-Based Approximations for the CDF of the Normal Distribution

Cites Work

• Modelling a non-normal response for quality improvement
• General control charts for variables

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