Bayesian statistics and marketing / Peter E. Rossi, Greg M. Allenby, Sanjog Misra
Material type:
- text
- computer
- online resource
- 1394219121
- 139421913X
- 1394219148
- 9781394219124
- 9781394219131
- 9781394219148
- HF5415.2 .R675 2024
Item type | Current library | Home library | Collection | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
![]() |
Merkez Kütüphane | Merkez Kütüphane | E-Kitap Koleksiyonu | Geçerli değil-e-Kitap / Not applicable-e-Book | EBK03637 |
Available to OhioLINK libraries
"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
There are no comments on this title.