New prediction method for the mixed logistic model applied in a marketing problem

DOI10.1016/j.csda.2013.04.006zbMath1471.62193OpenAlexW2006133053MaRDI QIDQ1800130

Viviana Giampaoli, Karin Ayumi Tamura

Publication date: 19 October 2018

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

Full work available at URL: https://doi.org/10.1016/j.csda.2013.04.006

zbMATH Keywords

predictionrandom effectsmarketing applicationmixed logistic regression

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Computational methods for problems pertaining to statistics (62-08) Generalized linear models (logistic models) (62J12)

Related Items (1)

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Uses Software

• R
• GAMLSS
• saery

Cites Work

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