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" Operationalizing dynamic price models : "


Document Type : BL
Record Number : 769296
Doc. No : b589284
Main Entry : Steffen Christ ; with a foreword by Robert Klein.
Title & Author : Operationalizing dynamic price models : : Bayesian demand forecasting and customer choice modeling for low cost carriers\ Steffen Christ ; with a foreword by Robert Klein.
Publication Statement : Wiesbaden [Germany] : Gabler, 2011
Series Statement : Gabler research.
Page. NO : (xxvi, 351 pages) : illustrations
ISBN : 3834961841
: : 9783834961846
Contents : pt. 1. Dynamic pricing in the airline industry --; pt. 2. Forecasting latent demand --; pt. 3. Estimating price sensitivity.
Abstract : 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.
Subject : Bayesian statistical decision theory.
Subject : Consumers' preferences -- Mathematical models.
Subject : Prices -- Mathematical models.
Added Entry : Robert Klein
: Steffen Christ
copyhttps://lib.clisel.com/site/catalogue/769296
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