Modelling a non-normal response for quality improvement

International Journal of Production Research

Volumn 39, Issue 17, 2001, Pages 4049-4063

  Shore, H ^a  

^a BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; OPTIMIZATION; POISSON DISTRIBUTION; RANDOM PROCESSES; REGRESSION ANALYSIS;

GENERALIZED LINEAR MODEL; NON-NORMAL RESPONSE; QUALITY IMPROVEMENT;

QUALITY ASSURANCE;

EID: 0035923931     PISSN: 00207543     EISSN: None     Source Type: Journal    
DOI: 10.1080/00207540110072245     Document Type: Article

References (9)

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2. Hamada, M. and Nelder, J. A., 1997, Generalized linear models for quality-improvement experiments. Journal of Quality Technology, 29, 292-304.
3. Hellstrand, C., 1989, The necessity of modern quality improvement and some experience with its implementation in the manufacturing of rolling bearings. Philosophical Transactions of the Royal Society of London, A327, 529-537.
4. Hsieh, P. I. and Goodwin, D. E., 1986, Sheet molded compound process improvement. Fourth Symposium on Taguchi Methods (Dearborn, MI: American Supplier Institute), pp. 13-21.
5. Myers, R. H. and Montgomery, D. C., 1997, A tutorial on generalized linear models. Journal of Quality Technology, 29, 274-291.
6. Shore, H., 2000a, General control charts for attributes. IIE Transactions: Quality and Reliability Engineering, 32, 634-637.
7. Shore, H., 2000b, General control charts for variables. International Journal of Production Research, 38, 1875-1897.
8. Shore, H., 2001a, Modeling a response with self-generated and externally-generated sources of variation. Quality Engineering (in press).
9. Shore, H., 2001b, Maximum likelihood estimation (with censoring) of a response with self-generated and externally-generated sources of variation (submitted).