Computational Evaluation For The Survival Times Of Patients Under Truncated Life Tests: Simulation And Application [version 1; peer review: awaiting peer review]

• Published in: F1000 research 2024, Vol.13, p.700
• Main Authors: Zaka, Azam, Jabeen, Riffat
• Format: Article
• Language: English
• ISSN: 2046-1402; 2046-1402
• DOI: 10.12688/f1000research.146106.1

Background Statistical process control (SPC) is utiled in manufacturing and service applications. It is used to monitor the behavior of the process, also to discover and solve the issues in internal systems. SPC allows immediate corrective actions to prevent defects and maintain process stability. There are two types of control charts are available in the literature: variable control charts and attribute control charts. Methods The use of attribute control charts for two positively skewed distributions such as power function distribution and weighted power function distribution is discussed in this research paper. We compared the behavior of both types of control charts and presented the results in form of tables. Results We conclude that control charts under a weighted power function distribution perform better than control charts using a power function distribution. Furthermore, these results will help in the early detection of errors that enhance the process reliability of the telecommunications and financing industries.