Browse by ISB Authors

Group by: Item Type | Affiliation | No Grouping
Number of items: 20.

Article

Kenett, R S and Shmueli, G (2014) On information quality. Journal of the Royal Statistical Society. Series A: Statistics in Society, 177 (1). pp. 3-38. ISSN 0964-1998

Yahav, I and Shmueli, G (2014) Directionally sensitive multivariate control charts in practice: Application to biosurveillance. Quality and Reliability Engineering International, 30 (2). pp. 159-179.

Yahav, I and Shmueli, G (2014) Outcomes matter: Estimating pre-transplant survival rates of kidney-transplant patients using simulator-based propensity scores. Annals of Operations Research, 216 (1). pp. 101-128.

Shmueli, G and Yahav, I and Ramat Gan, I (2014) Tackling Simpson's Paradox in Big Data Using Classification & Regression Trees. Twenty Second European Conference on Information Systems, Tel Aviv 2014.

Lin, M and Lucas, H and Shmueli, G (2013) Too big to fail: Large samples and the p-value problem. Information Systems Research, 24 (4). pp. 906-917.

Sellers, K F and Shmueli, G (2013) Data dispersion: Now you see it. now you don't. Communications in Statistics - Theory and Methods, 42 (17). pp. 3134-3137.

Sellers, K F and Borle, S and Shmueli, G (2012) The COM-Poisson model for count data: A survey of methods and applications. Applied Stochastic Models in Business and Industry, 28 (2). pp. 104-116.

Sellers, K F and Borle, S and Shmueli, G (2012) Rejoinder: The COM-Poisson Model for count data: A survey of methods and applications. Applied Stochastic Models in Business and Industry, 28 (2). pp. 128-129.

Bapna, R and Jank, W and Shmueli, G (2008) Consumer surplus in online auctions. Information Systems Research, 19 (4). pp. 400-416.

Monograph

Shmueli, G and Yahav, I (2014) The Forest or the Trees? Tackling Simpson's Paradox with Classification and Regression Trees. Working Paper. Indian School of Business, Hyderabad.

Shmueli, G and Mani, D (2013) Impact Assessment in Observational Studies: A Classification and Regression Tree Approach. Working Paper. Indian School of Business.

Chatla, S and Shmueli, G (2013) Linear Probability Models (LPM) and Big Data: The Good, The Bad, and The Ugly. Working Paper. Indian School of Business, Hyderabad.

Sellers, K F and Shmueli, G (2010) Data Dispersion: Now You See it... Now You Don't. Working Paper. Indian School of Business, Hyderabad.

Sellers, K F and Shmueli, G (2010) Predicting Censored Count Data with COM-Poisson Regression. Working Paper. Indian School of Business, Hyderabad.

Shmueli, G and Koppius, O (2010) Predictive Analytics in Information Systems Research. Working Paper. Indian School of Business, Hyderabad.

Dass, M and Jank, W and Shmueli, G (2010) SOABER: An Innovative Approach to Maximize Bidder Surplus in Simultaneous Online Art Auctions. Working Paper. Indian School of Business, Hyderabad.

Conference or Workshop Item

Agarwal, R and Bapna, R and Yong Goh, K and Ghose, A and Shmueli, G and Slaughter, S (2014) Does Growing Demand for Data Science Create New Opportunities for Information Systems? In: Thirty Fifth International Conference on Information Systems, 2014, Auckland.

Shmueli, G and Chatla, S. (2014) Linear probability models in information systems research. In: 22nd European Conference on Information Systems, 9-11 June 2014, Tel Aviv.

Bapna, R and Ramaprasad, J and Shmueli, G and Umyarov, A (2013) One-way mirrors and weak-signaling in online dating: A randomized field experiment. In: The 34th International Conference on Information Systems (ICIS), December 15-18, 2013, Milan; Italy.

Book

Kenett, R S and Shmueli, G (2016) Information Quality: The Potential of Data and Analytics to Generate Knowledge. Wiley. ISBN 9781118874448

This list was generated on Tue Sep 21 07:31:18 2021 IST.