Title :
Robustness of a semi-parametric proportional intensity model
Author :
Landers, Thomas L. ; Soroudi, Homa E.
Author_Institution :
Dept. of Ind. Eng., Arkansas Univ., Fayetteville, AR, USA
fDate :
6/1/1991 12:00:00 AM
Abstract :
The Prentice, Williams, Peterson (PWP) semiparametric model for the failure processes of repairable systems involves regression on explanatory variables across strata defined by the failure-event count. A heuristic method is developed for assessing the robustness of the PWP model, where the true underlying process is nonhomogeneous Poisson with power-law intensity function. The PWP model performed well for large samples and increasing rates of occurrence of failures and poorly for small samples and decreasing rates of occurrence of failures
Keywords :
failure analysis; reliability theory; stochastic processes; PWP model; failure processes; failure-event count; heuristic method; nonhomogeneous Poisson process; power-law intensity function; proportional intensity model; regression analysis; reliability Prentice Williams Peterson model; repairable systems; robustness; semiparametric model; Failure analysis; Hazards; Maximum likelihood estimation; Power system modeling; Power system reliability; Probability; Reliability theory; Robustness; Statistical analysis; Stochastic processes;
Journal_Title :
Reliability, IEEE Transactions on