Confidence intervals for the proportion of conformance

Chung Han Lee, Hsiuying Wang*


研究成果: Article同行評審

1 引文 斯高帕斯(Scopus)


The proportion of conformance is defined as the proportion of products with quality characteristic inside the specification limits. The construction of confidence interval for the proportion of conformance is an important problem in industrial applications, especially when the number of conforming units follows a binomial distribution. In this study, we propose an approach to construct confidence intervals for the proportion of conformance. Numerical and simulation studies are conducted to compare the performance of these intervals. In addition, we also provide a methodology to calculate the exact confidence coefficients of the proposed intervals satisfying some conditions.

頁(從 - 到)1-16
期刊Journal of Statistical Computation and Simulation
出版狀態Published - 8 2月 2021


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