Lower Confidence Bound for Process-Yield Index Spkwith Autocorrelated Process Data-Reference-Cited by-同舟云学术

Lower Confidence Bound for Process-Yield Index Spkwith Autocorrelated Process Data

Published:2015-01 Issue:2 Volume:12 Page:253-267
ISSN:1684-3703
Container-title:Quality Technology & Quantitative Management
language:en
Short-container-title:Quality Technology & Quantitative Management

Author:

Wang Fu-Kwun,Tamirat Yeneneh

Publisher

Informa UK Limited

Subject

Management of Technology and Innovation,Information Systems and Management,Management Science and Operations Research,Industrial relations,Business and International Management

Link

http://www.tandfonline.com/doi/pdf/10.1080/16843703.2015.11673380

Reference4 articles.

1. Montgomery, D. C. (2013). Statistical Quality Control — A Modern Introduction.Wiley, Singapore.

2. R Development Core Team (2014).R: A Language and Environment for Statistical Computing.Vienna, Austria: R Foundation for Statistical Computing.

3. Vannman, K. and Kulchci, M. (2008). A model-free approach to eliminate autocorrelation when testing for process capability.Quality and Reliability Engineering

4. Wallgren, E. (2001). Confidence limits for the process capability indexCpkfor autocorrelated quality characteristics.Frontiers in Statistical Quality Control, eds., Lenz, H. J. and Wilrich, P. T. Heidelberg: Physica-Verlag.

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unbiased process capability estimation for autocorrelated data using exhaustive systematic sampling;Quality and Reliability Engineering International;2024-07-07

2. Estimation of C _pm for autocorrelated data in the presence of random measurement errors;Communications in Statistics - Simulation and Computation;2023-11-08

3. Measuring One-Sided Process Capability Index for Autocorrelated Data in the Presence of Random Measurement Errors;Stochastics and Quality Control;2023-10-04

4. A note on statistical analysis of C _pk for autocorrelated data in the presence of random measurement errors;Communications in Statistics - Theory and Methods;2023-10-03

5. Process Capability Cp Assessment for Auto-Correlated Data in the Presence of Measurement Errors;International Journal of Reliability, Quality and Safety Engineering;2022-11-16