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An artificial neural net attraction model (ANNAM) to analyze market share effects of marketing instruments
Hruschka, Harald - In: Schmalenbach business review : sbr 53 (2001) 1, pp. 27-40
Persistent link: https://www.econbiz.de/10001539150
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Using artificial neural nets for flexible aggregate market response modeling
Hruschka, Harald - In: Quantitative marketing and marketing management : …, (pp. 103-121). 2012
Persistent link: https://www.econbiz.de/10009621125
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Using a heterogeneous multinominal probit model with a neural net extension to model brand choice
Hruschka, Harald - In: Journal of forecasting 26 (2007) 2, pp. 113-127
Persistent link: https://www.econbiz.de/10003437289
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Neural nets and genetic algorithms in marketing
Hruschka, Harald - In: Handbook of marketing decision models, (pp. 399-433). 2008
Persistent link: https://www.econbiz.de/10003755284
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A multilayer perceptron for clustering
Hruschka, Harald; Natter, Martin - In: Mathematische Methoden der Wirtschaftswissenschaften : …, (pp. 76-84). 1999
Persistent link: https://www.econbiz.de/10001423413
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Specification and estimation of nonlinear models with dynamic reference prices
Hruschka, Harald; Natter, Martin - In: Dynamic competitive analysis in marketing : proceedings …, (pp. 45-54). 1996
Persistent link: https://www.econbiz.de/10001319638
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Homogeneous and latent class versions of the neural net-multinomial logit model (NN-NML) : a semiparametric approach to analyze brand choice
Hruschka, Harald; Probst, Markus; Fettes, Werner - 2001
Persistent link: https://www.econbiz.de/10001619754
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Ankerpreise als Erwartungen oder dynamische latente Variablen in Marktreaktionsmodellen
Natter, Martin; Hruschka, Harald - In: Schmalenbachs Zeitschrift für betriebswirtschaftliche … 49 (1997) 9, pp. 747-764
Persistent link: https://www.econbiz.de/10001225310
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A flexible brand choice model based on neural net methodology : a comparison to the linear utility multinomial logit model and its latent class extension
Hruschka, Harald; Fettes, Werner; Probst, Markus; Mies, … - In: OR spectrum : quantitative approaches in management 24 (2002) 2, pp. 127-143
Persistent link: https://www.econbiz.de/10001673539