Operationalizing dynamic pricing models : Bayesian demand forecasting and customer choice modeling for low cost carriers
著者
書誌事項
Operationalizing dynamic pricing models : Bayesian demand forecasting and customer choice modeling for low cost carriers
(Gabler research)
Gabler, 2011
大学図書館所蔵 件 / 全2件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references (p. [331]-351)
内容説明・目次
内容説明
Steffen Christ shows how theoretic optimization models can be operationalized by employing self-learning strategies to construct relevant input variables, such as latent demand and customer price sensitivity.
目次
- Dynamic Pricing
- Forecasting Latent Demand
- Self-Learning Linear Models
- Estimating Price Sensitivity
- Discrete Customer Choice Analysis
「Nielsen BookData」 より