Measurement and Estimation of Conjoint Utility Functions
Bibliographic Data
| ID | 2192169 |
|---|---|
| Authors | Dov Pekelman, Subrata K Sen |
| Year | 1979 |
| Volume | 5 |
| Issue | 4 |
| Pages | 263 |
| Publication date | 1979-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Consumer Research (JOURNAL) |
| Journal identifiers | ISSN: 0093-5301 • E-ISSN: 1537-5277 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1086/208738 |
| OpenAlex | W2044742030 |
| Language | EN |
| Citations received | 2 |
Conjoint analysis studies usually calculate utilities for several discrete attribute levels and then use linear interpolation to predict utilities for other attribute levels. Instead of linear interpolation, utility functions can be used. This paper compares the predictive abilities of the utility function approach and the procedure of linear interpolation
Conjoint analysis · Econometrics · Economics · Estimation · Function (biology) · Interpolation (computer graphics) · Linear interpolation · Mathematical optimization · Pattern recognition (psychology) · Preference · Statistics · Artificial Intelligence · Computer Science · Economic and Environmental Valuation · Mathematics · Multi-Criteria Decision Making · Optimization and Mathematical Programming
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,04 |
| Citation span | 1981 - 1984 (4) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |