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Bayesian statistics and marketing / Peter E. Rossi, Greg M. Allenby, Sanjog Misra

By: Contributor(s): Material type: TextTextSeries: Wiley series in probability and statisticsPublisher: Hoboken, NJ : Wiley, [2024]Edition: Second editionDescription: 1 online resource (viii, 391 pages) : illustrations (some color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 1394219121
  • 139421913X
  • 1394219148
  • 9781394219124
  • 9781394219131
  • 9781394219148
Subject(s): Additional physical formats: Print version:: Bayesian statistics and marketingLOC classification:
  • HF5415.2 .R675 2024
Online resources: Summary: "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."-- Provided by publisher
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Item type Current library Home library Collection Call number Status Date due Barcode
E-Book E-Book Merkez Kütüphane Merkez Kütüphane E-Kitap Koleksiyonu Geçerli değil-e-Kitap / Not applicable-e-Book EBK03637

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"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."-- Provided by publisher

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