Improved bootstrap X¯ control chart for non-normally distributed data

This article proposes new method to improve the performance of bootstrap control chart for non-normal data. Bootstrap control charts for monitoring data require attention because the average run length (ARL) results of the bootstrap control charts can be less accurate and lacks stability. To deal wi...

詳細記述

書誌詳細
主要な著者: Sukma Adi Perdana, Muhammad Mashuri, Muhammad Ahsan
フォーマット: 論文
言語:English
出版事項: Elsevier 2025-06-01
シリーズ:MethodsX
主題:
オンライン・アクセス:http://www.sciencedirect.com/science/article/pii/S221501612500038X