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.
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Dr. Steffen Christ wrote his dissertation at the Institute of Statistics and Mathematical Economics of Prof. Dr. Robert Klein at the University of Augsburg.
Dynamic Pricing of services has become the norm for many young service industries especially in today s volatile markets. 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. He proves that the development of the necessary forecasting models is indeed possible, i.e., through the usage of real-time data of online sales channels.
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Paperback. Condición: new. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9783834927491
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Dynamic Pricing of services has become the norm for many young service industries - especially in today's volatile markets. 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. He proves that the development of the necessary forecasting models is indeed possible, i.e., through the usage of real-time data of online sales channels. 380 pp. Englisch. Nº de ref. del artículo: 9783834927491
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Condición: New. 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. . 2011. 2011th Edition. Paperback. . . . . Nº de ref. del artículo: V9783834927491
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Taschenbuch. Condición: Neu. Operationalizing Dynamic Pricing Models | Bayesian Demand Forecasting and Customer Choice Modeling for Low Cost Carriers | Steffen Christ | Taschenbuch | xxvii | Englisch | 2011 | Gabler Verlag | EAN 9783834927491 | Verantwortliche Person für die EU: Springer Gabler in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 107263288
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Taschenbuch. Condición: Neu. Neuware -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.Springer Gabler in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg 380 pp. Englisch. Nº de ref. del artículo: 9783834927491
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