方法证据记录
Robust Conjoint Analysis
Robust conjoint analysis decomposes respondent preferences for multi-attribute products or services into part-worth utilities while guarding against the distorting influence of outlying ratings or unusual respondents. It adapts classical conjoint estimation with robust regression or robust aggregation techniques so that conclusions about attribute importance remain trustworthy even when a minority of evaluations deviate markedly from the majority.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Robust Conjoint Analysis
分类方法记录 · latent-structure / statistics
- Croux, C., Filzmoser, P., & Oliveira, M. R. (2007). Algorithms for Projection-Pursuit Robust Principal Component Analysis. Chemometrics and Intelligent Laboratory Systems, 87(2), 218–225. · DOI 10.1016/j.chemolab.2007.01.004
- Green, P. E., & Srinivasan, V. (1978). Conjoint Analysis in Consumer Research: Issues and Outlook. Journal of Consumer Research, 5(2), 103–123. · DOI 10.1086/208721
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