Integrated bayesian hierarchical choice modeling to capture heterogeneous consumer preferences in engineering design

Journal of Mechanical Design

Volumn 132, Issue 12, 2010, Pages

  Hoyle, Christopher ^a   Chen, Wei ^b,d   Wang, Nanxin ^c   Koppelman, Frank S ^b  

^a 1148 Kelley Engineering Center Corvallis   (United States)

^b Northwestern University   (United States)

^c FORD MOTOR COMPANY   (United States)

^d NONE   (United States)

Author keywords

Bayesian estimation; complex system design; discrete choice analysis; error mitigation; heterogeneous consumer preference; hierarchical modeling; ordered logit

Indexed keywords

BAYESIAN NETWORKS; PRODUCT DESIGN; RANDOM PROCESSES; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; SYSTEMS ANALYSIS;

BAYESIAN; BAYESIAN ESTIMATIONS; CHOICE MODEL; COMPLEX SYSTEM DESIGN; CONSUMERS' PREFERENCES; DISCRETE CHOICE ANALYSIS; ERROR MITIGATION; HETEROGENEOUS CONSUMER PREFERENCE; HIERARCHICAL MODEL; ORDERED LOGIT;

LARGE SCALE SYSTEMS;

EID: 78650354532     PISSN: 10500472     EISSN: None     Source Type: Journal    
DOI: 10.1115/1.4002972     Document Type: Article

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