Bootstrap confidence intervals for percentiles of reliability data for wood-plastic composites

Improving product reliability is an important goal that may be achieved from a better understanding of the product's lower percentiles. These lower percentiles provide practitioners with an evaluation of the product's early failures along with providing information for specification limits...

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Bibliographic Details
Published in:Forest products journal 2008-11, Vol.58 (11), p.106-114
Main Authors: Young, Timothy M, Perhac, Diane G, Guess, Frank M, Leon, Ramon V
Format: Article
Language:English
Subjects:
Approximation
Bootstrap method
bootstrapping
Bootstrapping (Statistics)
Composite materials industry
Confidence intervals
Datasets
durability
equations
estimation
Failure
Forest products industry
Materials elasticity
methodology
Methods
modulus of elasticity
modulus of rupture
product quality
Product reliability
Production management
Sample size
statistical analysis
Studies
wood plastic composites
Wood products
Wood sciences
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Summary:Improving product reliability is an important goal that may be achieved from a better understanding of the product's lower percentiles. These lower percentiles provide practitioners with an evaluation of the product's early failures along with providing information for specification limits, warranty, and cost analysis. Estimation of lower percentiles is sometimes difficult, since substantive data are often sparse in the lower tails. Bootstrap techniques provide important solutions for confidence interval evaluations of these percentiles.
ISSN:0015-7473
2376-9637