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About this paper
Mohammadreza Ahmadnejadsaein, Amine Bennouna, Omar El Housni
The authors design fixed assortment experiments for revenue-based retail decisions under a multinomial logit model with known revenues and unrestricted preferences. Their policy uses purchase frequency to retain or expand a tested revenue prefix. In a two-cluster example, one observation cuts minimax regret by 0% for even n ≥ 20; repeated tests yield vanishing relative regret only as n grows.
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