Reliability testing typically generates product lifetime data, but for some tests, covariate information about the wear and tear on the product during the life test can provide additional insight into the product’s lifetime distribution. This usage, or degradation, can be the physical parameters of the product (e.g., corrosion thickness on a metal plate) or merely indicated through product performance (e.g., the luminosity of a light emitting diode). The measurements made across the product’s lifetime are degradation data, and degradation analysis is the statistical tool for providing inference about the lifetime distribution from the degradation data.
Copyright © 2008 Wiley Press. This book chapter first appeared in Encyclopedia of Statistics in Quality and Reliability, Edited by Fabrizio Ruggeri, Ron S. Kenett, Frederick W. Faltin, 1-7. Hoboken: Wiley Press, 2008.
The definitive version is available at: Wiley Press.
Bae, Suk Joo, and Paul H. Kvam. "Degradation Models." In Encyclopedia of Statistics in Quality and Reliability, edited by Fabrizio Ruggeri, Ron S. Kenettt, and Frederick W. Faltin, 1-7. Hoboken: Wiley Press, 2008.
Bae, Suk Joo and Kvam, Paul H., "Degradation Models" (2008). Math and Computer Science Faculty Publications. 211.