Title :
Statistical precision and robustness of the AMSAA continuous reliability growth estimators
Author :
Ziad, Tariq ; Ellner, Paul M.
Author_Institution :
US Army Mater. Syst. Anal. Activity, Aberdeen Proving Ground, MD, USA
Abstract :
The statistical precision and robustness study of the US Army material systems analysis activity (AMSAA) continuous reliability growth estimation procedure investigates the relative error distribution of the mean time between failures estimator. The study also addresses how this distribution is influenced when the failure data are generated from a finite number of configurations rather than from the AMSAA continuous-failure-rate curve. This methodology can be used to calculate the required test time associated with an idealized planning curve to achieve a specified precision with a given probability
Keywords :
failure analysis; military equipment; probability; reliability; statistical analysis; AMSAA continuous reliability growth estimators; US Army material systems analysis activity; accuracy; failure analysis; idealized planning curve; mean time between failures; military systems; probability; relative error distribution; statistical precision; statistical robustness; test time; Maintenance; Maximum likelihood estimation; Phase estimation; Phase measurement; Protection; Random variables; Robustness; Shape measurement; System testing; US Government;
Conference_Titel :
Reliability and Maintainability Symposium, 1990. Proceedings., Annual
Conference_Location :
Los Angeles, CA
DOI :
10.1109/ARMS.1990.67958