|
QICID: 30518
Title: Testing Parameters of a Gamma Distribution for Small Samples
Copyright: ASQ; American Statistical Association
Author: Bhaumik, Dulal K.; Kapur, Kush; Gibbons, Robert D.
Organization: Center for Health Statistics, Department of Psychiatry and Division of Epidemiology and Biostatistics, University of Illinois at Chicago
Subject: Log-gamma distribution; Power of tests; Approximation; Scale parameter;
Series: Technometrics, Vol. 51, No. 3, August 2009, pp. 326–334
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 shape, scale, and mean of the gamma distribution relevant to application in the physical, environmental, and biological sciences are tested using new small sample-based tests that determine the Type I error rate and statistical power via simulation. The new tests perform well as long as the shape parameter is not too small. The tests are illustrated using real data taken from engineering, medicine, and environmental science.
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
|
