Operationalizing Dynamic Pricing Models: Bayesian Demand Forecasting and Customer Choice Modeling for Low Cost Carriers
Steffen Christ
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Description for Operationalizing Dynamic Pricing Models: Bayesian Demand Forecasting and Customer Choice Modeling for Low Cost Carriers
Paperback. 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. Num Pages: 351 pages, 116 black & white illustrations, 46 black & white tables, biography. BIC Classification: KJS. Category: (P) Professional & Vocational. Dimension: 210 x 148 x 22. Weight in Grams: 498.
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.
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.
Product Details
Publisher
Gabler Verlag
Format
Paperback
Publication date
2011
Condition
New
Weight
498g
Number of Pages
351
Place of Publication
Weisbaden, Germany
ISBN
9783834927491
SKU
V9783834927491
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Steffen Christ
Dr. Steffen Christ wrote his dissertation at the Institute of Statistics and Mathematical Economics of Prof. Dr. Robert Klein at the University of Augsburg.
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