Toward a more nuanced understanding of the statistical properties of a median split D Iacobucci, SS Posavac, FR Kardes, MJ Schneider, DL Popovich
Journal of Consumer Psychology 25 (4), 652-665, 2015
534 2015 The median split: Robust, refined, and revived D Iacobucci, SS Posavac, FR Kardes, MJ Schneider, DL Popovich
Journal of Consumer Psychology 25 (4), 690-704, 2015
455 2015 Mean centering helps alleviate “micro” but not “macro” multicollinearity D Iacobucci, MJ Schneider, DL Popovich, GA Bakamitsos
Behavior research methods 48, 1308-1317, 2016
445 2016 How artificial intelligence will affect the future of retailing A Guha, D Grewal, PK Kopalle, M Haenlein, MJ Schneider, H Jung, ...
Journal of Retailing 97 (1), 28-41, 2021
271 2021 Mean centering, multicollinearity, and moderators in multiple regression: The reconciliation redux D Iacobucci, MJ Schneider, DL Popovich, GA Bakamitsos
Behavior research methods 49, 403-404, 2017
155 2017 Forecasting sales of new and existing products using consumer reviews: A random projections approach MJ Schneider, S Gupta
International Journal of Forecasting 32 (2), 243-256, 2016
137 2016 Protecting customer privacy when marketing with second-party data MJ Schneider, S Jagpal, S Gupta, S Li, Y Yu
International Journal of Research in Marketing 34 (3), 593-603, 2017
72 2017 A Flexible Method for Protecting Marketing Data: An Application to Point-of-Sale Data M Schneider, S Jagpal, S Gupta, Y Yu, S Li
Marketing Science, 2018
45 2018 Differential privacy applications to Bayesian and linear mixed model estimation JM Abowd, MJ Schneider, L Vilhuber
Journal of Privacy and Confidentiality 5 (1), 2013
35 2013 Large-change forecast accuracy: Reanalysis of M3-Competition data using receiver operating characteristic analysis WL Gorr, MJ Schneider
International Journal of Forecasting 29 (2), 274-281, 2013
24 2013 & Hawkins, G.(2021) A Guha, D Grewal, PK Kopalle, M Haenlein, MJ Schneider, H Jung
How artificial intelligence will affect the future of retailing. Journal of …, 0
23 A new method for protecting interrelated time series with Bayesian prior distributions and synthetic data MJ Schneider, JM Abowd
Journal of the Royal Statistical Society Series A: Statistics in Society 178 …, 2015
21 2015 Reidentification Risk in Panel Data: Protecting for k -Anonymity S Li, MJ Schneider, Y Yu, S Gupta
Information Systems Research 34 (3), 1066-1088, 2023
13 2023 Marketing research on environmental sustainability D Iacobucci, MLDS Gabriel, MJ Schneider, KM Hamza
Continuing to Broaden the Marketing Concept: Making the World A Better Place …, 2020
12 2020 The marketer at the privacy table S Gupta, P Moutafis, MJ Schneider
Impact at JMR, 2022
6 2022 Protecting survey data on a consumer level MJ Schneider, D Iacobucci
Journal of Marketing Analytics 8, 3-17, 2020
6 2020 Tests of Alternative Asset Pricing Models Using Individual Security Returns and a New Multivariate -Test S Rahman, MJ Schneider
Review of Pacific Basin Financial Markets and Policies 22 (01), 1950001, 2019
4 2019 ROC-based model estimation for forecasting large changes in demand MJ Schneider, WL Gorr
International Journal of Forecasting 31 (2), 253-262, 2015
4 2015 The tensor auto‐regressive model C Hill, J Li, MJ Schneider, MT Wells
Journal of Forecasting 40 (4), 636-652, 2021
3 2021 An application of differentially private linear mixed modeling JM Abowd, MJ Schneider
2011 IEEE 11th International Conference on Data Mining Workshops, 614-619, 2011
3 2011