Distribution Fitting with Response Modeling Methodology (RMM) — Some Recent Results

DOI10.1080/01966324.2008.10737714zbMath1155.62088OpenAlexW1997369408WikidataQ58305433 ScholiaQ58305433MaRDI QIDQ3605820

Haim Shore

Publication date: 24 February 2009

Published in: American Journal of Mathematical and Management Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01966324.2008.10737714

zbMATH Keywords

RMMfamilies of distributionsempirical modelling

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Exact distribution theory in statistics (62E15) Applications of statistics to physics (62P35)

Cites Work

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• Response modeling methodology (RMM)-maximum likelihood estimation procedures
• A new approach to analysing non-normal quality data with application to process capability analysis
• Model Selection and Multimodel Inference
• Forecasting S-shaped diffusion processes via response modelling methodology
• Comparison of Generalized Lambda Distribution (GLD) and Response Modeling Methodology (RMM) as General Platforms for Distribution Fitting

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