Performance evaluation of exponential distribution using Six Sigma-based tail probabilities

DOI10.1080/03610918.2019.1708931zbMath1497.62356OpenAlexW3000218481WikidataQ115551240 ScholiaQ115551240MaRDI QIDQ5082769

J. Ravichandran, S. Kalaivani

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2019.1708931

zbMATH Keywords

exponential distributiontail-probabilitiesnon-normal processDPMOEGPMOSix Sigma metrics

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Reliability, availability, maintenance, inspection in operations research (90B25)

Cites Work

• Six Sigma performance for non-normal processes
• A review of preliminary test-based statistical methods for the benefit of Six Sigma quality practitioners
• Transition probabilities and ARL performance of Six Sigma zone control charts
• Self-starting X-bar control chart based on Six Sigma quality and sometimes pooling procedure
• Comparisons of various types of normality tests

This page was built for publication: Performance evaluation of exponential distribution using Six Sigma-based tail probabilities