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Titolo:
COST-DRIVEN PARAMETER DESIGN
Autore:
MOORHEAD PR; WU CFJ;
Indirizzi:
FORD MOTOR CO DEARBORN MI 48126 UNIV MICHIGAN,DEPT STAT ANN ARBOR MI 48109 UNIV MICHIGAN,DEPT IND & OPERAT ENGN ANN ARBOR MI 48109
Titolo Testata:
Technometrics
fascicolo: 2, volume: 40, anno: 1998,
pagine: 111 - 119
SICI:
0040-1706(1998)40:2<111:>2.0.ZU;2-2
Fonte:
ISI
Lingua:
ENG
Soggetto:
TO-NOISE RATIOS; PERFORMANCE-MEASURES; ROBUST DESIGN;
Keywords:
ADJUSTMENT FACTOR; DISPERSION MEASURE; GENERAL LOSS FUNCTION; LOCATION MEASURE; LOCATION-SCALE MODEL; NOMINAL-THE-BEST PARAMETER DESIGN;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
CompuMath Citation Index
Science Citation Index Expanded
Citazioni:
12
Recensione:
Indirizzi per estratti:
Citazione:
P.R. Moorhead e C.F.J. Wu, "COST-DRIVEN PARAMETER DESIGN", Technometrics, 40(2), 1998, pp. 111-119

Abstract

Parameter design methodology has focused primarily on the quadratic loss function, which can often be solved by using a two-step procedure involving the minimization of a dispersion measure and then adjusting the mean to target. In some practical situations, however, the loss can be nonquadratic or highly skewed. By building on a theory of Leon and Wu, we develop a modeling and data-analysis strategy for a general loss function, in which the quality characteristic follows a location-scale model. The only difference from the two-step procedure just mentioned is the adjustment step, in which the mean is moved to that side of the target with lower cost. The technique is illustrated on an experiment involving epitaxial-layer growth in integrated-circuit fabrication.

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Documento generato il 30/09/20 alle ore 02:56:44