EconPapers    
Economics at your fingertips  
 

Advanced Methods of Analysis (Machine-Learning Based and Other)

Vithala R. Rao ()
Additional contact information
Vithala R. Rao: S. C. Johnson Graduate School of Management Cornell University, Deane Malott Professor of Management (Emeritus)

Chapter 7 in Applied Conjoint Analysis, 2026, pp 275-287 from Springer

Abstract: Abstract Previous chapters described analysis methods for different kinds of data collected in conjoint studies. These studies typically utilize small samples (e.g., less than 1000 respondents). Situations arise when researchers need to develop or test new analysis methods required for large sample sizes. Fortunately, several developments have been made in methodologies that can be applied to conjoint analysis. This is an emerging area.

Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sptchp:978-3-032-00894-7_7

Ordering information: This item can be ordered from
http://www.springer.com/9783032008947

DOI: 10.1007/978-3-032-00894-7_7

Access Statistics for this chapter

More chapters in Springer Texts in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-05-12
Handle: RePEc:spr:sptchp:978-3-032-00894-7_7