Semi-parametric proportional intensity models robustness for right-censored recurrent failure data

Reliability Engineering and System Safety

Volumn 90, Issue 1, 2005, Pages 91-98

  Jiang, S T ^a   Landers, T L ^a   Rhoads, T R ^a  

^a UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

Non homogeneous Poisson process; Prentice Williams Peterson; Proportional intensity models; Recurrent events; Repairable systems reliability; Right censoring

Indexed keywords

DATA REDUCTION; FAILURE ANALYSIS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; POISSON DISTRIBUTION; RANDOM PROCESSES; REGRESSION ANALYSIS; RELIABILITY;

NON-HOMOGENEOUS POISSON PROCESS; PRENTICE-WILLIAMS-PETERSON; PROPORTIONAL INTENSITY MODELS; RECURRENT EVENTS; REPAIRABLE SYSTEMS RELIABILITY; RIGHT-SENSORING;

ROBUSTNESS (CONTROL SYSTEMS);

EID: 20144370046     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2004.11.017     Document Type: Article

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