ISSN:
1572-9249
Keywords:
Orthogonal arrays
;
orthogonal contrasts
;
censoring
;
half-normal plots
;
Taguchi
;
proportional hazards
;
Weibull regression
Source:
Springer Online Journal Archives 1860-2000
Topics:
Mathematics
Notes:
Abstract Smith (1991) presents a paper proposing the use of Weibull regression models to establish dependence of failure data (usually times) on covariates related to the design of the test specimens and test procedures. In his article Smith made the point that good experimental design was as important in reliability applications as elsewhere, and in view of the current interest in design inspired by Taguchi and others, we pay some attention in this article to that topic. A real case study from the Ford Motor Company is presented. Our main approach is to utilize suggestions in the literature for applying standard least squares techniques of experimental analysis even when there is likely to be nonnormal error, and censoring. This approach lacks theoretical justification, but its appeal is its simplicity and flexibility. For completeness we also include some analysis based on the proportional hazards model, and in an attempt to link back to Smith (1991), look at a Weibull regression model.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF00985761
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