Abstract
In this article, we consider six process capability indices (PCIs) whose quality characteristics have a normal distribution, out of which first PCI
Funding statement: This work is supported by the IoE (Ref. No./IoE/2024-25/12/FRP), Department of Statistics, Faculty of Mathematical Sciences, University of Delhi.
Acknowledgements
The author thanked the Editor in Chief and the Reviewer for their very careful reading and constructive comments which helped us to improve the earlier version of this article.
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Articles in the same Issue
- Frontmatter
- Profit and Reliability Analysis of a Gas Production Unit with the Concept of Optimal Age Replacement Policy: A Copula Approach
- A Comprehensive Analysis Using Maximum Likelihood Estimation and Artificial Neural Networks for Modeling Arthritic Pain Relief Data
- A Comparative Study of Six Process Capability Indices and Their Applications to Electronic and Food Industries
- Estimation of a New Asymmetry Based Process Capability Index 𝐶𝑐 for Gamma Distribution
- Double and Group Acceptance Sampling Inspection Plans Based on Truncated Life Test for the Quasi-Xgamma Distribution
- E-Bayesian Estimation of the Weighted Power Function Distribution with Application to Medical Data
- Comparing Ridge Regression Estimators: Exploring Both New and Old Methods