Accommodating heterogeneity and nonlinearity in price effects for predicting brand sales and profits
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Publication:319751
DOI10.1016/j.ejor.2015.02.047zbMath1346.62163OpenAlexW2076534869MaRDI QIDQ319751
Anett Weber, Peter Wechselberger, Winfried J. Steiner, Stefan Lang
Publication date: 6 October 2016
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2015.02.047
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Uses Software
Cites Work
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- Allocation of catalogs to collective customers based on semiparametric response models
- Multilevel structured additive regression
- Clusterwise pricing in stores of a retail chain
- Market share analysis using semi-parametric attraction models
- An empirical comparison of the validity of a neural net based multinomial logit choice model to alternative model specifications
- Relevance of functional flexibility for heterogeneous sales response models: a comparison of parametric and semi-nonparametric models
- Bayesian Measures of Model Complexity and Fit
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