Forecasting S-shaped diffusion processes via response modelling methodology

DOI10.1057/palgrave.jors.2602187zbMath1177.90135OpenAlexW2041464102MaRDI QIDQ5428966

Diamanta Benson-Karhi, Haim Shore

Publication date: 29 November 2007

Published in: Journal of the Operational Research Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1057/palgrave.jors.2602187

zbMATH Keywords

diffusion processesforecastingnonlinear regressionresponse modeling methodologysigmoid curvesinverse normalizing transformations

Mathematics Subject Classification ID

Queueing theory (aspects of probability theory) (60K25) Production models (90B30)

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Monte Carlo analysis of estimation methods for the prediction of customer response patterns in direct marketing ⋮ Comparison of Generalized Lambda Distribution (GLD) and Response Modeling Methodology (RMM) as General Platforms for Distribution Fitting ⋮ Distribution Fitting with Response Modeling Methodology (RMM) — Some Recent Results ⋮ Interval goal programming for S-shaped penalty function

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