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Original Articles

Inverse Gaussian Control Charts for Monitoring Process Variability

Pages 223-239 | Published online: 02 Sep 2006

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Read on this site (4)

AthanasiosG. Kallioras & IoannisA. Koutrouvelis. (2014) Percentile Estimation in Inverse Gaussian Distributions. Communications in Statistics - Simulation and Computation 43:2, pages 269-284.
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Ioannis A. Koutrouvelis & Alex Karagrigoriou. (2012) Cumulant plots and goodness-of-fit tests for the inverse Gaussian distribution. Journal of Statistical Computation and Simulation 82:3, pages 343-358.
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Y. L. Lio & Chanseok Park. (2010) A bootstrap control chart for inverse Gaussian percentiles. Journal of Statistical Computation and Simulation 80:3, pages 287-299.
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Willis A. Jensen, L. Allison Jones-Farmer, Charles W. Champ & William H. Woodall. (2006) Effects of Parameter Estimation on Control Chart Properties: A Literature Review. Journal of Quality Technology 38:4, pages 349-364.
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Articles from other publishers (6)

Summera Kinat, Muhammad Amin & Tahir Mahmood. (2019) GLM‐based control charts for the inverse Gaussian distributed response variable. Quality and Reliability Engineering International 36:2, pages 765-783.
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R. Noorossana, S. Fathizadan & M. R. Nayebpour. (2016) EWMA Control Chart Performance with Estimated Parameters under Non-normality. Quality and Reliability Engineering International 32:5, pages 1637-1654.
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Baocai Guo, Bing Xing Wang & Min Xie. (2014) A study of process monitoring based on inverse Gaussian distribution. Computers & Industrial Engineering 76, pages 49-59.
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Alex Karagrigoriou. 2012. Recent Advances in System Reliability. Recent Advances in System Reliability 253 267 .
Filia Vonta & Alex Karagrigoriou. 2010. Mathematical and Statistical Models and Methods in Reliability. Mathematical and Statistical Models and Methods in Reliability 401 413 .
Alex Karagrigoriou, Kyriacos Mattheou & Panayiotis Panayiotou. 2010. Mathematical and Statistical Models and Methods in Reliability. Mathematical and Statistical Models and Methods in Reliability 243 254 .

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