Effectiveness of phase I applications for identifying randomly scattered out-of-control observations and estimating control chart parameters-Reference-Cited by-同舟云学术

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Effectiveness of phase I applications for identifying randomly scattered out-of-control observations and estimating control chart parameters

Published:2017-11-06 Issue:1 Volume:34 Page:78-92
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Qual. Reliab. Engng. Int.

Author:

Testik Murat Caner¹,Weiß Christian H.²,Koca Yesim¹,Testik Ozlem Muge¹

Affiliation:

1. Industrial Engineering; Hacettepe University; Ankara Beytepe Turkey

2. Department of Mathematics and Statistics; Helmut Schmidt University Hamburg; Hamburg Germany

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/qre.2239/fullpdf

Reference17 articles.

1. Recent advances in process monitoring: nonparametric and variable-selection methods for phase I and phase II;Capizzi;Qual Eng,2015

2. Effects of parameter estimation on control chart properties: a literature review;Jensen;J Qual Technol,2006

3. The Poisson INAR (1) CUSUM chart under overdispersion and estimation error;Weiß;IIE Trans,2011

4. Conditional and marginal performance of the Poisson CUSUM control chart with parameter estimation;Testik;Int J Protein Res,2007

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1. Some quasi-distribution-free schemes for Phase-I analysis of multivariate industrial processes;Computers & Industrial Engineering;2023-07

2. Effect of contaminated phase I data on the phase II – EWMA control chart performance under non-normality;Communications in Statistics - Simulation and Computation;2022-12-15

3. Monitoring a labeled degree‐corrected stochastic block model;Quality and Reliability Engineering International;2022-10-22

4. Distribution-free Phase-I scheme for location, scale and skewness shifts with an application in monitoring customers' waiting time;Journal of Applied Statistics;2021-11-05

5. A new distribution-free Phase-I procedure for bi-aspect monitoring based on the multi-sample Cucconi statistic;Computers & Industrial Engineering;2020-11

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