Bayesian statistics and marketing

"Bayesian statistics can help to provide unique insights into important issues in many fields. Bayesian statistics is not new, but traditionally it has not been widely taught as it is computationally challenging and there were criticisms surrounding the subjectivity of Bayesian methods. As comp...

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Hauptverfasser: Rossi, Peter E. 1955- (VerfasserIn), Allenby, Greg M. 1956- (VerfasserIn), Misra, Sanjog (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Hoboken, NJ Wiley [2024]
Ausgabe:Second edition.
Schriftenreihe:Wiley series in probability and statistics
Schlagworte:
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Datensatz im Suchindex

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Misra, Sanjog
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spelling Rossi, Peter E. 1955- VerfasserIn aut
Bayesian statistics and marketing Peter E. Rossi, Greg M. Allenby, Sanjog Misra
Second edition.
Hoboken, NJ Wiley [2024]
1 online resource (viii, 391 pages) illustrations (some color).
Text txt rdacontent
Computermedien c rdamedia
Online-Ressource cr rdacarrier
Wiley series in probability and statistics
Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on July 17, 2024)
"Bayesian statistics can help to provide unique insights into important issues in many fields. Bayesian statistics is not new, but traditionally it has not been widely taught as it is computationally challenging and there were criticisms surrounding the subjectivity of Bayesian methods. As computing power has increased, computational and modelling breakthroughs have made the implementation of Bayesian methods ideal for addressing many marketing problems. Bayesian analyses can now be conducted over a wide range of marketing problems, from new product introduction and pricing to customized targeting and micro-pricing in online environments, using a wide range of different data sources."--
Marketing research Mathematical models
Marketing Mathematical models
Bayesian statistical decision theory
Marketing ; Recherche ; Modèles mathématiques
Marketing ; Modèles mathématiques
Théorie de la décision bayésienne
Allenby, Greg M. 1956- VerfasserIn aut
Misra, Sanjog VerfasserIn aut
9781394219117
Erscheint auch als Druck-Ausgabe 9781394219117
TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781394219117/?ar X:ORHE Aggregator lizenzpflichtig Volltext
spellingShingle Rossi, Peter E. 1955-
Allenby, Greg M. 1956-
Misra, Sanjog
Bayesian statistics and marketing
Marketing research Mathematical models
Marketing Mathematical models
Bayesian statistical decision theory
Marketing ; Recherche ; Modèles mathématiques
Marketing ; Modèles mathématiques
Théorie de la décision bayésienne
title Bayesian statistics and marketing
title_auth Bayesian statistics and marketing
title_exact_search Bayesian statistics and marketing
title_full Bayesian statistics and marketing Peter E. Rossi, Greg M. Allenby, Sanjog Misra
title_fullStr Bayesian statistics and marketing Peter E. Rossi, Greg M. Allenby, Sanjog Misra
title_full_unstemmed Bayesian statistics and marketing Peter E. Rossi, Greg M. Allenby, Sanjog Misra
title_short Bayesian statistics and marketing
title_sort bayesian statistics and marketing
topic Marketing research Mathematical models
Marketing Mathematical models
Bayesian statistical decision theory
Marketing ; Recherche ; Modèles mathématiques
Marketing ; Modèles mathématiques
Théorie de la décision bayésienne
topic_facet Marketing research Mathematical models
Marketing Mathematical models
Bayesian statistical decision theory
Marketing ; Recherche ; Modèles mathématiques
Marketing ; Modèles mathématiques
Théorie de la décision bayésienne
url https://learning.oreilly.com/library/view/-/9781394219117/?ar
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