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Matthew J. Schneider
Matthew J. Schneider
Verified email at drexel.edu - Homepage
Title
Cited by
Cited by
Year
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
4902015
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
4192015
Mean centering helps alleviate “micro” but not “macro” multicollinearity
D Iacobucci, MJ Schneider, DL Popovich, GA Bakamitsos
Behavior research methods 48, 1308-1317, 2016
3842016
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
1772021
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
1302017
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
1292016
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
662017
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
382018
Differential privacy applications to Bayesian and linear mixed model estimation
JM Abowd, MJ Schneider, L Vilhuber
Journal of Privacy and Confidentiality 5 (1), 2013
332013
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
232013
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
202015
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
92020
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
62023
Protecting survey data on a consumer level
MJ Schneider, D Iacobucci
Journal of Marketing Analytics 8, 3-17, 2020
62020
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
42019
ROC-based model estimation for forecasting large changes in demand
MJ Schneider, WL Gorr
International Journal of Forecasting 31 (2), 253-262, 2015
42015
The tensor auto‐regressive model
C Hill, J Li, MJ Schneider, MT Wells
Journal of Forecasting 40 (4), 636-652, 2021
32021
An application of differentially private linear mixed modeling
JM Abowd, MJ Schneider
2011 IEEE 11th International Conference on Data Mining Workshops, 614-619, 2011
32011
Navy Network Dependability: Models, Metrics, and Tools
I Porche, K Comanor, B Wilson, MJ Schneider, J Montelibano, ...
Rand Corporation, 2010
32010
Protecting the anonymity of online users through Bayesian data synthesis
MJ Schneider, J Hu, S Mankad, CD Bale
Expert Systems with Applications 216, 119409, 2023
22023
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