Monitoring the Weibull shape parameter under progressive censoring in presence of independent competing risks

© 2021 Informa UK Limited, trading as Taylor & Francis Group.

Bibliographische Detailangaben
Veröffentlicht in:Journal of applied statistics. - 1991. - 50(2023), 4 vom: 21., Seite 945-962
1. Verfasser: Moharib Alsarray, Rusul Mohsin (VerfasserIn)
Weitere Verfasser: Kazempoor, Jaber, Ahmadi Nadi, Adel
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2023
Zugriff auf das übergeordnete Werk:Journal of applied statistics
Schlagworte:Journal Article Weibull distribution competing risks control chart masked data progressive censoring
LEADER 01000naa a22002652 4500
001 NLM354314114
003 DE-627
005 20231226061938.0
007 cr uuu---uuuuu
008 231226s2023 xx |||||o 00| ||eng c
024 7 |a 10.1080/02664763.2021.2003760  |2 doi 
028 5 2 |a pubmed24n1180.xml 
035 |a (DE-627)NLM354314114 
035 |a (NLM)36925903 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Moharib Alsarray, Rusul Mohsin  |e verfasserin  |4 aut 
245 1 0 |a Monitoring the Weibull shape parameter under progressive censoring in presence of independent competing risks 
264 1 |c 2023 
336 |a Text  |b txt  |2 rdacontent 
337 |a ƒaComputermedien  |b c  |2 rdamedia 
338 |a ƒa Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date Revised 17.03.2023 
500 |a published: Electronic-eCollection 
500 |a Citation Status PubMed-not-MEDLINE 
520 |a © 2021 Informa UK Limited, trading as Taylor & Francis Group. 
520 |a In this paper, monitoring the Weibull shape parameter arising from progressively censored competing risks data is investigated. The competing risks are assumed to be independent and not identically distributed from the Weibull distributions with different shape and scale parameters. Both the shape parameters can be monitored separately by the proposed control charts using censored and predicted observations. We also introduced a control chart for monitoring both shape parameters simultaneously to detect possible shifts in both opposite and the same directions. In addition, the problem of mask data is discussed and an efficient prediction method is proposed. The behavior of the average run length with and without mask data is investigated through extensive simulations. Furthermore, the effects of sample size, number of failures due to each risk, and censoring scheme on the charts' performance are also studied. Finally, an illustrative example is presented to demonstrate the application of the proposed control charts by investigating a real data set of the failure times of two-component ARC-1 VHF communication transmitter receivers of a single commercial airline. Although this data set has been widely investigated in reliability analysis studies, this is the first time it has been analyzed in a statistical process monitoring setting 
650 4 |a Journal Article 
650 4 |a Weibull distribution 
650 4 |a competing risks 
650 4 |a control chart 
650 4 |a masked data 
650 4 |a progressive censoring 
700 1 |a Kazempoor, Jaber  |e verfasserin  |4 aut 
700 1 |a Ahmadi Nadi, Adel  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Journal of applied statistics  |d 1991  |g 50(2023), 4 vom: 21., Seite 945-962  |w (DE-627)NLM098188178  |x 0266-4763  |7 nnns 
773 1 8 |g volume:50  |g year:2023  |g number:4  |g day:21  |g pages:945-962 
856 4 0 |u http://dx.doi.org/10.1080/02664763.2021.2003760  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 50  |j 2023  |e 4  |b 21  |h 945-962