|
QICID: 24454
Title: Confidence Intervals for the Coefficient of Variation when Random Effects are Selected from Finite Populations
Copyright: ASQ; Taylor & Francis
Author: Burdick, Richard K.; Watrin, Shea
Organization: Quality Engineering and
Improvement, Amgen, Inc
Subject: Measurement, Validation, Standard deviation, Repeatability and reproducibility studies (R&R), Variance components Random effects, Biomedical;
Series: Quality Engineering, Vol. 20, No. 3, July 2008, pp.
This ARTICLE is available for FREE
to ASQ members
with the appropriate membership type and/or magazine subscriptions. If you are signed-in you should be able to download articles you are entitled to receive. If you have questions about your membership please contact Customer Care at 800-248-1946 or help@asq.org
Abstract: [This abstract is based on the authors' abstract.]
The conceptualized infinite population from which random effects are sampled in many practical applications does not provide a good description of the data. When random effects are sampled from finite populations of known size, an assumed random effects model provides confidence intervals on functions of the variance components that are too wide. On the other hand, fixed effects models underestimate true variability. The problem is discussed here in a biomedical application by comparing alternative methods for modeling variation in the process.
Price for ASQ Members: $5.00
Price for List/Forum/Division: $10.00
All electronic articles are sent as PDFs via e-mail. To view the documents, you will need Adobe
Reader (free download).
Orders placed during business hours are usually filled within one business day.
If you have questions please e-mail our Customer Care center at help@asq.org.
Browse QIC articles chronologically
previous next
|
