International Journal of Reliability and Applications
- Volume 7 Issue 1
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- Pages.27-39
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- 2006
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- 1598-0073(pISSN)
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- 2283-8914(eISSN)
Applying a Forced Censoring Technique with Accelerated Modeling for Improving Estimation of Extremely Small Percentiles of Strengths
- Chen Weiwei (Department of Statistics, 331 Stokely Management Center, University of Tennessee) ;
- Leon Ramon V. (Department of Statistics, 337 Stokely Management Center, University of Tennessee) ;
- Young Timothy M. (Tennessee Forest Products Center, 2506 Jacob Drive, University of Tennessee) ;
- Guess Frank M. (Department of Statistics, 338 Stokely Management Center, University of Tennessee)
- Published : 2006.06.01
Abstract
Many real world cases in material failure analysis do not follow perfectly the normal distribution. Forcing of the normality assumption may lead to inaccurate predictions and poor product quality. We examine the failure process of the internal bond (IB or tensile strength) of medium density fiberboard (MDF). We propose a forced censoring technique that closer fits the lower tails of strength distributions and better estimates extremely smaller percentiles, which may be valuable to continuous quality improvement initiatives. Further analyses are performed to build an accelerated common-shaped Weibull model for different product types using the
Keywords
- first percentile;
- lower percentiles;
- forced censoring for fitting better;
- strengths of materials;
- non-normal data;
- accelerated model;
- $JMP^{(R)}$;
- scripting language reliability