Article ID: | iaor201525660 |
Volume: | 13 |
Issue: | 6 |
Start Page Number: | 440 |
End Page Number: | 456 |
Publication Date: | Dec 2014 |
Journal: | Journal of Revenue and Pricing Management |
Authors: | Marcotte Patrice, Savard Gilles, Sharif Azadeh Shadi |
Keywords: | management, statistics: inference |
Revenue management systems rely on customer data, and are thus affected by the absence of registered demand that arises when a product is no longer available. In the present work, we review the uncensoring (or unconstraining) techniques that have been proposed to deal with this issue, and develop a taxonomy based on their respective features. This study will be helpful in identifying the relative merits of these techniques, as well as avenues for future research.