Winfried Steiner

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Working Papers in Economics and Statistics Additive Models with Random Scaling Factors: Applications to Modeling Price Response Functions Additive Models with Random Scaling Factors: Applications to Modeling Price Response Functions

S. Lang, Peter Wechselberger, Winfried Steiner, 2022 .

How customer satisfaction with respect to price and quality affects customer retention: an integrated approach considering nonlinear effects

Daniel Guhl, Florian Siems, Winfried J. Steiner, 2014 .

Are consumers heterogeneous in their preferences for odd and even prices? Findings from a choice-based conjoint study

Winfried J. Steiner, Bernhard Baumgartner, Winfried Steiner, 2007 .

Monotonic Regression Based on Bayesian P–Splines

Andreas Brezger, Winfried Steiner, A. Brezger, 2008 .

Monotonic Regression Based on Bayesian P-Splines: An Application to Estimating Price Response Functions from Store-Level Scanner Data

Andreas Brezger, Winfried J. Steiner, Winfried Steiner, 2008 .

On the effect of HB covariance matrix prior settings: A simulation study

Winfried Steiner, P. Kurz, Maren Hein, 2019, Journal of Choice Modelling.

Lang , Adebayo , Fahrmeir , Steiner : Bayesian Geoadditive Seemingly Unrelated Regression

L. Fahrmeir, S. Lang, Winfried Steiner, 2007 .

Bayesian Geoadditive Seemingly Unrelated Regression 1

L. Fahrmeir, S. Lang, Winfried Steiner, 2003 .

Report on the First Working Group Meeting of the “AG Marketing”

Winfried Steiner, A. Geyer-Schulz, Friederike Paetz, 2020 .

A comparison of semiparametric and heterogeneous store sales models for optimal category pricing

S. Lang, Winfried Steiner, Anett Weber, 2016, OR Spectrum.

Flexible estimation of time-varying effects for frequently purchased retail goods: a modeling approach based on household panel data

T. Kneib, Winfried Steiner, Daniel Guhl, 2018, OR Spectrum.

How customer satisfaction with respect to price and quality affects customer retention: an integrated approach considering nonlinear effects

Winfried Steiner, F. Siems, Daniel Guhl, 2013, Journal of Business Economics.

The benefits of incorporating utility dependencies in finite mixture probit models

Winfried Steiner, Friederike Paetz, 2017, OR Spectrum.

Using Hierarchical Bayes draws for improving shares of choice predictions in conjoint simulations: A study based on conjoint choice data

Peter Kurz, Maren Hein, Winfried J. Steiner, 2021, Eur. J. Oper. Res..

Latent Class Conjoint Choice Models: A Guide for Model Selection, Estimation, Validation, and Interpretation of Results

Peter Kurz, Friederike Paetz, Maren Hein, 2019, Marketing ZFP.

Flexible estimation of time-varying effects for frequently purchased retail goods: a modeling approach based on household panel data

Daniel Guhl, Thomas Kneib, Winfried Steiner, 2018, OR Spectr..

Estimating time-varying parameters in brand choice models: A semiparametric approach

Daniel Guhl, Thomas Kneib, Winfried J. Steiner, 2018, International Journal of Research in Marketing.

Utility independence versus IIA property in independent probit models

Winfried Steiner, Friederike Paetz, 2017 .

Semiparametric multinomial logit models for analysing consumer choice behaviour

Thomas Kneib, Winfried J. Steiner, Bernhard Baumgartner, 2007 .

A comparison of semiparametric and heterogeneous store sales models for optimal category pricing

Stefan Lang, Winfried Steiner, Anett Weber, 2017, OR Spectr..

A semiparametric approach to estimating reference price effects in sales response models

Winfried Steiner, Philipp Aschersleben, 2022, Journal of Business Economics.

Modeling price response from retail sales: An empirical comparison of models with different representations of heterogeneity

Winfried J. Steiner, Anett Weber, Winfried Steiner, 2020, Eur. J. Oper. Res..

A Stackelberg-Nash model for new product design

Winfried Steiner, Winfried Steiner, 2010, OR Spectr..

Bayesian Geoadditive Seemingly Unrelated Regression

Ludwig Fahrmeir, Stefan Lang, Winfried J. Steiner, 2003, Comput. Stat..

Analyzing the capabilities of the HB logit model for choice-based conjoint analysis: a simulation study

Peter Kurz, Maren Hein, Winfried J. Steiner, 2020, Journal of Business Economics.

The benefits of incorporating utility dependencies in finite mixture probit models

Friederike Paetz, Winfried Steiner, Winfried Steiner, 2017, OR Spectr..

Heterogeneity in Preferences for Odd Prices

Winfried Steiner, Bernhard Baumgartner, Winfried Steiner, 2006, GfKl.

Multimodal preference heterogeneity in choice-based conjoint analysis: a simulation study

Winfried Steiner, P. Kurz, Nils Goeken, 2023, Journal of Business Economics.

Accommodating heterogeneity and nonlinearity in price effects for predicting brand sales and profits

Stefan Lang, Peter Wechselberger, Winfried Steiner, 2015, Eur. J. Oper. Res..

Smooth Quantile‐Based Modeling Of Brand Sales, Price And Promotional Effects From Retail Scanner Panels

Winfried J. Steiner, Harry Haupt, Kathrin Kagerer, 2014 .

Flexible estimation of price response functions using retail scanner data

Andreas Brezger, Christiane Belitz, Winfried J. Steiner, 2007 .

Monotonic Spline Regression to Estimate Promotional Price Effects: A Comparison to Benchmark Parametric Models

Andreas Brezger, Winfried Steiner, Winfried Steiner, 2005, OR.

Semiparametric Stepwise Regression to Estimate Sales Promotion Effects

Stefan Lang, Christiane Belitz, Winfried Steiner, 2005, GfKl.

S. Lang, Peter Wechselberger, Winfried Steiner, 2022 .

“Advanced data analysis techniques with marketing applications”

H. Hruschka, Winfried Steiner, Friederike Paetz, 2022, Journal of Business Economics.

Genetic Algorithms for Product Design: How Well do They Really Work?

Harald Hruschka, Winfried J. Steiner, H. Hruschka, 2003 .

A Probabilistic One-Step Approach to the Optimal Product Line Design Problem Using Conjoint and Cost Data

Harald Hruschka, Winfried J. Steiner, H. Hruschka, 2002 .