A bivariate distribution for the reliability analysis of failure data in presence of a forewarning or primer event (Articolo in rivista)

Type

• Articolo in rivista (Classe)
• Prodotto della ricerca (Classe)

Label

• A bivariate distribution for the reliability analysis of failure data in presence of a forewarning or primer event (Articolo in rivista) (literal)

Anno

• 2006-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1080/03610920600761964 (literal)

Alternative label

• Pulcini G. (2006)
  A bivariate distribution for the reliability analysis of failure data in presence of a forewarning or primer event
  in Communications in statistics. Theory and methods
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Pulcini G. (literal)

Pagina inizio

• 2107 (literal)

Pagina fine

• 2126 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 35 (literal)

Rivista

• Communications in statistics. Theory and methods (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo

• 11 (literal)

Note

• Google Scholar (literal)
• Scopu (literal)
• ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Istituto Motori, CNR, Napoli (literal)

Titolo

• A bivariate distribution for the reliability analysis of failure data in presence of a forewarning or primer event (literal)

Abstract

• This article presents a bivariate distribution for analyzing the failure data of mechanical and electrical components in presence of a forewarning or primer event whose occurrence denotes the inception of the failure mechanism that will cause the component failure after an additional random time. The characteristics of the proposed distribution are discussed and several point estimators of parameters are illustrated and compared,in case of complete sampling, via a large Monte Carlo simulation study. Confidence intervals based on asymptotic results are derived, as well as procedures are given for testing the independence between the occurrence time of the forewarning event and the additional time to failure. Numerical applications based on failure data of cable insulation specimens and of two-component parallel systems are illustrated. (literal)

Prodotto di

• Affidabilità, qualità e manutenibilità nei trasporti (ET.P02.019.001) (Modulo)
• Istituto motori (IM) (Istituto)

Autore CNR

• GIANPAOLO PULCINI (Persona)

Insieme di parole chiave

• Keywords of "A bivariate distribution for the reliability analysis of failure data in presence of a forewarning or primer event" (Insieme di parole chiave)

Incoming links:

Prodotto

• Istituto motori (IM) (Istituto)
• Affidabilità, qualità e manutenibilità nei trasporti (ET.P02.019.001) (Modulo)

Autore CNR di

• GIANPAOLO PULCINI (Persona)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Communications in statistics. Theory and methods (Rivista)

Insieme di parole chiave di

• Keywords of "A bivariate distribution for the reliability analysis of failure data in presence of a forewarning or primer event" (Insieme di parole chiave)