at Google ScholarTitle data
Schreiber, Stefanie ; Baier, Daniel:
Multivariate Landing Page Optimization Using Hierarchical Bayes Choice-Based Conjoint.
In: Lausen, Berthold ; Krolak-Schwerdt, Sabine ; Böhmer, Matthias
(ed.):
Data Science, Learning by Latent Structures, and Knowledge Discovery. -
Berlin ; Heidelberg
: Springer
,
2015
. - pp. 465-474
. - (Studies in Classification, Data Analysis, and Knowledge Organization
)
ISBN 978-3-662-44982-0
DOI: https://doi.org/10.1007/978-3-662-44983-7_41
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Institutions of the University: | Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XIV - Marketing and Innovation > Chair Business Administration XIV - Marketing and Innovation - Univ.-Prof. Dr. Daniel Baier Faculties Faculties > Faculty of Law, Business and Economics Faculties > Faculty of Law, Business and Economics > Department of Business Administration Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XIV - Marketing and Innovation |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 300 Social sciences > 330 Economics |
| Date Deposited: | 17 Sep 2015 06:07 |
| Last Modified: | 17 Sep 2015 06:07 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/19437 |