Pricing Decisions under Demand Uncertainty: A Bayesian Mixture Model Approach
The advent of optical scanning devices and decreases in the cost of computing power have made it possible to assemble databases with sales and marketing mix information in an accurate and timely manner. These databases enable the estimation of demand functions and pricing/promotion decisions in &quo...
| Veröffentlicht in: | Marketing Science. - Institute for Operations Research and the Management Sciences. - 15(1996), 3, Seite 207-221 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
1996
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| Zugriff auf das übergeordnete Werk: | Marketing Science |
| Schlagworte: | Pricing Bayesian Econometrics Decision Theory Regression Nonnested Models Demand Structures Scanner Data Business Economics Mathematics |
| Online verfügbar |
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