Citations (21)
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Read on this site (7)
M. S. Barale & D. T. Shirke. (2023) A control chart based on data depth for monitoring the variability in a multivariate process. Communications in Statistics - Simulation and Computation 0:0, pages 1-15.
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Mohsen Ebadi, Shojaeddin Chenouri, Dennis K. J. Lin & Stefan H. Steiner. (2022) Statistical monitoring of the covariance matrix in multivariate processes: A literature review. Journal of Quality Technology 54:3, pages 269-289.
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Muhammad Aslam, G. Srinivasa Rao, Liaquat Ahmad & Chi-Hyuck Jun. (2022) A new control chart using GINI CPK. Communications in Statistics - Theory and Methods 51:1, pages 197-211.
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Muhammad Mashuri, Haryono Haryono, Diaz Fitra Aksioma, Wibawati Wibawati, Muhammad Ahsan & Hidayatul Khusna. (2019) Tr(R2) control charts based on kernel density estimation for monitoring multivariate variability process. Cogent Engineering 6:1.
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Aamir Saghir & Zhengyan Lin. (2015) Designing of Gini-chart for Exponential, t, Logistic and Laplace Distributions. Communications in Statistics - Simulation and Computation 44:9, pages 2387-2409.
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Muhammad Riaz. (2015) Control charting and survey sampling techniques in process monitoring. Journal of the Chinese Institute of Engineers 38:3, pages 342-354.
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Aamir Saghir. (2015) The bivariate dispersion control charts for non-normal processes. International Journal of Production Research 53:7, pages 1964-1979.
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Articles from other publishers (14)
Rashid Mehmood, Muhammad Hisyam Lee, Iftikhar Ali, Muhammad Riaz & Shahid Hussain. (2020) Multivariate cumulative sum control chart and measure of process capability based on bivariate ranked set schemes. Computers & Industrial Engineering 150, pages 106891.
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Nasir Abbas, Muhammad Riaz, Shabbir Ahmad, Muhammad Abid & Babar Zaman. (2020) On the Efficient Monitoring of Multivariate Processes with Unknown Parameters. Mathematics 8:5, pages 823.
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Richard Osei‐Aning & Saddam Akber Abbasi. (2019) Efficient bivariate EWMA charts for monitoring process dispersion. Quality and Reliability Engineering International 36:1, pages 247-267.
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Muhammad Riaz, Tahir Mahmood, Nasir Abbas & Saddam Akber Abbasi. (2019) On improved monitoring of linear profiles under modified successive sampling. Quality and Reliability Engineering International.
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Tahir Mahmood, Saddam Akber Abbasi, Muhammad Riaz & Nasir Abbas. (2018) An Efficient Phase I Analysis of Linear Profiles with Application in Photo-Voltaic System. Arabian Journal for Science and Engineering 44:3, pages 2699-2716.
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Shabbir Ahmad, Muhammad Riaz, Shahid Hussain & Saddam Akber Abbasi. (2018) On auxiliary information-based control charts for autocorrelated processes with application in manufacturing industry. The International Journal of Advanced Manufacturing Technology 100:5-8, pages 1965-1980.
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M.A.G. Machado, L.L. Ho & A.F.B. Costa. (2018) Attribute control charts for monitoring the covariance matrix of bivariate processes. Quality and Reliability Engineering International 34:2, pages 257-264.
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L.P. Nadeeka D. Premarathna, A. Jonathan R. Godfrey & Kondaswamy Govindaraju. (2017)
Control charts for paired differences: d¯ and
S
d
charts
. Quality and Reliability Engineering International 33:8, pages 1843-1854.
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Aamir Saghir, Subhabrata Chakraborti & Ishfaq Ahmad. (2017) On the Performance of Phase-I Bivariate Dispersion Charts to Non-Normality. Quality and Reliability Engineering International 33:3, pages 637-656.
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Richard Osei-Aning, Saddam Akber Abbasi & Muhammad Riaz. (2017) Bivariate Dispersion Control Charts for Monitoring Non-Normal Processes. Quality and Reliability Engineering International 33:3, pages 515-529.
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Ridwan A. Sanusi, Mu'azu Ramat Abujiya, Muhammad Riaz & Nasir Abbas. (2017) Combined Shewhart CUSUM charts using auxiliary variable. Computers & Industrial Engineering 105, pages 329-337.
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Aamir Saghir, Yousaf Ali Khan & Subha Chakraborti. (2016) The Phase I Dispersion Charts for Bivariate Process Monitoring. Quality and Reliability Engineering International 32:5, pages 1807-1823.
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Abdul Haq, Jennifer Brown, Elena Moltchanova & Amer Ibrahim Al-Omari. (2015) Improved Exponentially Weighted Moving Average Control Charts for Monitoring Process Mean and Dispersion. Quality and Reliability Engineering International 31:2, pages 217-237.
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Shabbir Ahmad, Saddam Akber Abbasi, Muhammad Riaz & Nasir Abbas. (2014) On efficient use of auxiliary information for control charting in SPC. Computers & Industrial Engineering 67, pages 173-184.
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