Efficiency of ranked set sampling designs in power Lindley system reliability estimation with uncensored and right-censored data

• Published in: Scientific reports Vol. 15; no. 1; pp. 22759 - 16
• Main Authors: Wu, Zhimin, Xiang, Lin
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 02.07.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 639/705/1041; 639/705/531; Efficiency; Estimates; Humanities and Social Sciences; Monte Carlo simulation; multidisciplinary; Perfect and imperfect ranking; Performance evaluation; Quality control; Random variables; Ranked set sampling designs; Reliability engineering; Resource allocation; Science; Science (multidisciplinary); Software reliability; Statistical models; Statistical sampling; System reliability; Uncensored and right-censored data; Ranked set sampling designs; Perfect and imperfect ranking; System reliability; Uncensored and right-censored data

Accurate system reliability estimation facilitates engineers and statisticians in optimizing resource allocation within industrial and technological applications. In the field of statistical modeling for system reliability metrics, ranked set sampling (RSS) designs have been confirmed as effective a...