A sampling scheme for estimating the reliability of a series system

The reliability estimation of a series system in which the component reliabilities are unknown is considered. The optimal sampling scheme depends on parameters that are typically unknown. A sequential sampling scheme is introduced and compared with both balanced allocation and optimal allocation. Nu...

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Veröffentlicht in:	IEEE transactions on reliability 1993-06, Vol.42 (2), p.287-290
1. Verfasser:	Rekab, K.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Exact sciences and technology Maximum likelihood estimation Monte Carlo methods Operational research and scientific management Operational research. Management science Performance evaluation Reliability Reliability theory. Replacement problems Sampling methods Sequential analysis Statistical analysis System testing
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Beschreibung
Zusammenfassung:	The reliability estimation of a series system in which the component reliabilities are unknown is considered. The optimal sampling scheme depends on parameters that are typically unknown. A sequential sampling scheme is introduced and compared with both balanced allocation and optimal allocation. Numerical comparisons for a two-component series system are given. The results indicate that the proposed sequential sampling scheme is much better than balanced allocation and is nearly optimal.< >
ISSN:	0018-9529 1558-1721
DOI:	10.1109/24.229502