Hruschka Harald

Harald Hruschka

Information about the author Harald Hruschka will soon be added to the site.
Found 10 papers in total
A Monte Carlo study of design-generating algorithms for the latent class mixed logit model
A Monte Carlo study of design-generating algorithms for the latent class mixed logit model
2017
We compare different procedures which generate D B ‐efficient designs for...
Multicategory Purchase Incidence Models for Partitions of Product Categories
Multicategory Purchase Incidence Models for Partitions of Product Categories
2017
We analyze multicategory purchases of households by means of heterogeneous...
Endogeneity of store attributes in heterogeneous store‐level sales response models
Endogeneity of store attributes in heterogeneous store‐level sales response models
2012
Retailing firms as a rule decide on store attributes (e.g., store size) considering an...
Using a heterogeneous multinomial probit model with a neural net extension to model brand choice
Using a heterogeneous multinomial probit model with a neural net extension to model brand choice
2007
The multinomial probit model introduced here combines heterogeneity across households...
Allocation of catalogs to collective customers based on semiparametric response models
Allocation of catalogs to collective customers based on semiparametric response models
2005
Most approaches to the problem of catalog allocation focus on the decision to send one...
An empirical comparison of the validity of a neural net based multinomial logit choice model to alternative model specifications
An empirical comparison of the validity of a neural net based multinomial logit choice model to alternative model specifications
2004
Applications of choice models to brand purchase data as a rule specify a linear...
Market segmentation by maximum likelihood clustering using choice elasticities
Market segmentation by maximum likelihood clustering using choice elasticities
2004
We determine market segments by clustering households on the basis of their average...
Market share analysis using semi-parametric attraction models
Market share analysis using semi-parametric attraction models
2002
Attraction models used to analyze the effects of marketing instruments on market share...
Comparing performance of feedforward neural nets and K-means for cluster-based market segmentation
Comparing performance of feedforward neural nets and K-means for cluster-based market segmentation
1999
We compare the performance of a specifically designed feedforward artificial neural...
Determining market response functions by neural network modeling: A comparison to econometric techniques
Determining market response functions by neural network modeling: A comparison to econometric techniques
1993
The article starts by discussing basic concepts of artificial feedforward networks...
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