A Bayesian Variable-Selection Approach for Analyzing Designed Experiments With Complex Aliasing

Technometrics

Volumn 39, Issue 4, 1997, Pages 372-381

  Chipman, H ^a   Hamada, M ^b   Wu, C F J ^b  

^a UNIVERSITY OF WATERLOO   (Canada)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Gibbs sampler; Hard to control factors; Interactions; Partial aliasing; Plackett Burman designs; Supersaturated designs

Indexed keywords

ALGORITHMS; ITERATIVE METHODS; LARGE SCALE SYSTEMS; MATHEMATICAL MODELS;

BAYESIAN VARIABLE SELECTION METHOD; COMPLEX ALIASING; FRACTIONAL FACTORIAL DESIGN; GIBBS SAMPLER; HARD TO CONTROL FACTORS; PARTIAL ALIASING; PLACKETT BURMAN DESIGNS;

REGRESSION ANALYSIS;

EID: 0031270538     PISSN: 00401706     EISSN: 15372723     Source Type: Journal    
DOI: 10.1080/00401706.1997.10485156     Document Type: Article

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