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This paper illustrates how conjoint analysis can be used to model preference for food products, and applies the technique to the study of fresh and frozen salmon preference among buyers from two intermediary wholesale levels in New England. The degree of preference for specific attributes and levels of the products is compared. The paper also evaluates the performance and predictive validity of a traditional additive conjoint model, a hybrid model estimated using both ordinary least squares, and a maximum likelihood hybrid two-limit Tobit model.
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Stored only when both papers are in the corpus — 75 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.