PERTANIKA JOURNAL OF TROPICAL AGRICULTURAL SCIENCE

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• Alharbi, S., Raun, W. R., Arnall, D. B., & Zhang, H. (2019). Prediction of maize (Zea mays L.) population using normalized-difference vegetative index (NDVI) and coefficient of variation (CV). Journal of Plant Nutrition, 42, 673-679. https://doi.org/10.1080/01904167.2019.1568465

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• Castagliola, P., Achouri, A., Taleb, H., Celano, G., & Psarakis, P. (2013). Monitoring the coefficient of variation using control charts with run rules. Quality Technology & Quantitative Management, 10, 75-94. https://doi.org/10.1080/16843703.2013.11673309

• Castagliola, P., Achouri, A., Taleb, H., Celano, G., & Psarakis, P. (2015). Monitoring the coefficient of variation using a variable sample size control chart. The International Journal of Advanced Manufacturing Technology, 80, 1561-1576. https://doi.org/10.1007/s00170-015-7084-4

• Castagliola, P., Celano, G., & Psarakis, S. (2011). Monitoring the coefficient of variation using EWMA charts. Journal of Quality Technology, 43, 249-265. https://doi.org/10.1080/00224065.2011.11917861

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• Chew, M. H., Yeong, W. C., Talib, M. A., Lim, S. L., & Khaw, K. W. (2021). Evaluating the steady-state performance of the synthetic coefficient of variation chart. Pertanika Journal of Science and Technology, 29(3), 2149-2173. https://doi.org/10.47836/pjst.29.3.20

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• Huang, C. C., & Tang, T. (2007). Development of a new infrared device for monitoring the coefficient of variation in yarns. Journal of Applied Polymer Science, 106, 2342-2349. https://doi.org/10.1002/app.25441

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• Khatun, M., Khoo, M. B. C., Lee, M. H., & Castagliola, P. (2019). One-sided control charts for monitoring the coefficient of variation in short production runs. Transactions of the Institute of Measurement and Control, 41, 1712-1728. https://doi.org/10.1177%2F0142331218789481

• Khaw, K. W., & Chew, X. Y. (2019). A re-evaluation of the run rules control charts for monitoring the coefficient of variation. Statistics, Optimization & Information Computing, 7, 716-730. https://doi.org/10.19139/soic-2310-5070-717

• Khaw, K. W., Chew, X. Y., Lee, M. H., & Yeong, W. C. (2021). An optimal adaptive variable sample size scheme for the multivariate coefficient of variation. Statistics, Optimization & Information Computing, 9, 681-693. https://doi.org/10.19139/soic-2310-5070-996

• Khaw, K. W., Chew, X. Y., Yeong, W. C., & Lim, S. L. (2019). Optimal design of the synthetic control chart for monitoring the multivariate coefficient of variation. Chemometrics and Intelligent Laboratory Systems, 186, 33-40. https://doi.org/10.1016/j.chemolab.2019.02.001

• Khaw, K. W., Khoo, M. B. C., Castagliola, P., & Rahim, M. A. (2018). New adaptive control charts for monitoring the multivariate coefficient of variation. Computers & Industrial Engineering, 126, 595-610. https://doi.org/10.1016/j.cie.2018.10.016

• Khaw, K. W., Khoo, M. B. C., Yeong, W. C., & Wu, Z. (2017). Monitoring the coefficient of variation using a variable sample size and sampling interval control chart. Communications in Statistics - Simulation and Computation, 46, 5772-5794. https://doi.org/10.1080/03610918.2016.1177074

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• Lim, S. L., Yeong, W. C., Khoo, M. B. C., Chong, Z. L., & Khaw, K. W. (2019). An alternative design for the variable sample size coefficient of variation chart based on the median run length and expected median run length. International Journal of Industrial Engineering: Theory, Applications, and Practice, 26, 199-220. https://doi.org/10.23055/ijietap.2019.26.2.4085

• Mahmood, T., & Abbasi, S. A. (2021). Efficient monitoring the coefficient of variation with an application to chemical reactor process. Quality and Reliability Engineering International, 37, 1135-1149. https://doi.org/10.1002/qre.2785

• Mim, F. N., Saha, S., Khoo, M. B. C., & Khatun, M. (2019). A side-sensitive modified group runs control chart with auxiliary information to detect process mean shifts. Pertanika Journal of Science and Technology, 27(2), 847-866.

• Mo, Y., Ma, X., Lu, J., Shen, Y., Wang, Y., Zhang, L., Lu, W., Zhu, W., Bao, Y., & Zhou, J. (2021). Defining the target value of the coefficient of variation by continuous glucose monitoring in Chinese people with diabetes. Journal of Diabetes Investigation, 12, 1025-1034. https://dx.doi.org/10.1111%2Fjdi.13453

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• Nguyen, Q. T., Tran, K. P., Heuchenne, H. L., Nguyen, T. H., & Nguyen, H. D. (2019). Variable sampling Interval Shewhart control charts for monitoring the multivariate coefficient of variation. Applied Stochastics Models in Business and Industry, 35, 1253-1268. https://doi.org/10.1002/asmb.2472

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• Tran, P. H., & Tran, K. P. (2016). The efficiency of CUSUM schemes for monitoring the coefficient of variation. Applied Stochastic Models in Business and Industry, 32, 870-881. https://doi.org/10.1002/asmb.2213

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• Yeong, W. C., Khoo, M. B. C., Teoh, W. L., & Castagliola, P. (2016). A control chart for the multivariate coefficient of variation. Quality and Reliability Engineering International, 32, 1213-1225. https://doi.org/10.1002/qre.1828

• Yeong, W. C., Lee, P. Y., Lim, S. L., Ng, P. S., & Khaw, K. W. (2021). Optimal designs of the side sensitive synthetic chart for the coefficient of variation based on median run length and expected median run length. PLoS ONE, 16, Article e0255366. https://doi.org/10.1371/journal.pone.0255366

• Yeong, W. C., Lim, S. L., Khoo, M. B. C., & Castagliola, P. (2018). Monitoring the coefficient of variation using a variable parameter chart. Quality Engineering, 30, 212-235. https://doi.org/10.1080/08982112.2017.1310230

• Yeong, W. C., Tan, Y. Y., Lim, S. L., Khaw, K. W., & Khoo, M. B. C. (2022). A variable sample size run sum coefficient of variation chart. Quality and Reliability Engineering International, 38, 1869-1885. https://doi.org/10.1002/qre.3057

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