ASYMPTOTIC EXPANSIONS TO IMPROVE LARGE SAMPLE CONFIDENCE-INTERVALS FOR SYSTEM RELIABILITY
成果类型：
Article
署名作者：
WINTERBOTTOM, A
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.1093/biomet/67.2.351
发表日期：
1980
页码：
351357
关键词：
摘要：
Asymptotic expansions are used to provide 1st- and 2nd-order adjustments to large sample approximations for system reliability confidence intervals obtained from component test data. The effectiveness of the adjustments for sample sizes of practical interest is demonstrated by numerical comparisons with results obtained using exact methods and also by a Monte Carlo study for systems with known reliabilities.
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