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Titolo:
ANALYSIS OF CENSORED-DATA FROM FRACTIONATED EXPERIMENTS - A BAYESIAN-APPROACH
Autore:
HAMADA M; WU CFJ;
Indirizzi:
UNIV WATERLOO,DEPT STAT & ACTUARIAL SCI WATERLOO ON N2L 3G1 CANADA UNIV WATERLOO,INST IMPROVEMENT QUAL & PROD WATERLOO ON N2L 3G1 CANADA UNIV WATERLOO,DEPT STAT & ACTUARIAL SCI WATERLOO ON N2L 3G1 CANADA UNIV MICHIGAN,DEPT STAT ANN ARBOR MI 48109 UNIV MICHIGAN,DEPT IND & OPERAT ENGN ANN ARBOR MI 48109
Titolo Testata:
Journal of the American Statistical Association
fascicolo: 430, volume: 90, anno: 1995,
pagine: 467 - 477
Fonte:
ISI
Lingua:
ENG
Soggetto:
DATA AUGMENTATION;
Keywords:
COMPLEX ALIASING; CONJUGATE AND IMPROPER PRIOR; DATA AUGMENTATION; FRACTIONAL FACTORIAL DESIGN; MONTE CARLO EM; PLACKETT-BURMAN DESIGN;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
CompuMath Citation Index
Science Citation Index Expanded
Citazioni:
20
Recensione:
Indirizzi per estratti:
Citazione:
M. Hamada e C.F.J. Wu, "ANALYSIS OF CENSORED-DATA FROM FRACTIONATED EXPERIMENTS - A BAYESIAN-APPROACH", Journal of the American Statistical Association, 90(430), 1995, pp. 467-477

Abstract

Censored data arise naturally in industrial experiments whose observations are failure times or measurements with mixed continuous-categorical outcomes. When censored data are observed from a fractionated experiment, likelihood-based estimates quite often do not exist, especially when the opportunity for improvement is great. To circumvent this problem, we propose a Bayesian analysis strategy that has a straightforward implementation using the data augmentation and Monte Carlo EM algorithms. For nonregular designs with complex aliasing patterns, a modified analysis strategy is proposed that substantially reduces the computation needed for model selection. The proposed strategy is illustrated using data from three real industrial experiments. For these data sets, the analysis results are fairly insensitive to the specification of the prior.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 26/09/20 alle ore 10:24:28