Hotelling, H. (1947). Multivariate quality control. In: Techniques of statistical analysis. McGraw-Hill, New York.
Montgomery, D. C. (1996). Introduction to statistical quality control. John Wiley & Sons Inc., USA.
Liu, R. Y., Parelius, J., & Singh, K. (1999). Multivariate Analysis by Data Depth: Descriptive Statistics, Graphics and Inference (with discussion). Annals of Statistics, 27, 783-858.
Li, J., & Liu, R. Y. (2004). New Nonparametric Tests of Multivariate Locations and Scales Using Data Depth. Statistical Science, 19(4), 686-696.
Vencalek, O. (2011). Concept of Data Depth and its Applications. Acta Universitatis Palackianae Olomucensis, Facultas Rerum Naturalium, Mathematica, 50, 111-119.
[6] Shirke, D., & Khorate, S. (2017). Power Comparison of Data Depth-Based Nonparametric Tests for Testing Equality of Locations. Journal of Statistical Computation and Simulation, 87(8), 1489-1497.
[7] Dehghan, S., & Faridrohani, M. R. (2018). Affine Invariant Depth-Based Tests for the Multivariate One-Sample Location Problem. TEST, 28(3), 671-693.
Barale, M. S., & Shirke, D. T. (2019). Nonparametric Control Charts Based on Data Depth for Location Parameter. Journal of Statistical Theory and Practice, 13(3), 41.
Liu, R. Y. (1995). Control Charts for Multivariate Processes. Journal of the American Statistical Association, 90, 1380-1387.
Hamurkaroglu, C., Mert, M., & Saykan, Y. (2004). Nonparametric Control Charts Based on Mahalanobis Depth. Hacettepe Journal of Mathematics and Statistics, 33, 57-67.
Bae, S. J., Do, G., & Kvam, P. (2016). On Data Depth and the Application of Nonparametric Multivariate Statistical Process Control Charts. Applied Stochastic Models in Business and Industry, 32(5), 660-676.
Czabak-Gorska, I. D. (2018). Multivariate Control Charts Based on Data Depth for Subgroup Location and Scale. CBU International Conference on Innovations in Science and Education, 1042-1049.
Faraz, A., Saniga, E., & Montgomery, D. (2019). Percentile‐Based Control Chart Design with an Application to Shewhart X̅ and Control Charts. Quality and Reliability Engineering International, 35(1), 116-126.
Montgomery, D. C. (2013). Introduction to statistical quality control. 7th ed. Hoboken, NJ: John Wiley & Sons.
Gan, F. F. (2013). An Optimal Design of EWMA Control Charts Based on Median Run Length. Journal of Statistical Computation and Simulation, 45, 169-184.
Gan, F. F. (1994). An Optimal Design of Cumulative Sum Control Chart Based on Median Run Length. Communication in Statistics- Simulation and Computation, 23(2), 485-503.
Chakraborti, S. (2007). Run Length Distribution and Percentiles: The Shewhart X Chart with Unknown Parameters. Quality Engineering, 19(2), 119-127.
Golosnoy, V., & Schmid, W. (2007). EWMA Control Charts for Monitoring Optimal Portfolio Weights. Sequential Analysis (Design Methods and Applications), 26(2), 195-224.
Das, N. (2009). A Comparison Study of Three Non-parametric Control Charts to Detect Shift in Location Parameters. The International Journal of Advanced Manufacturing Technology, 41(7-8), 799-807.
Khoo, M. B. C., Wong, V. H., Wu, Z., & Castagliola, P. (2012). Optimal Design of the Synthetic Chart for the Process Mean Based on Median Run Length. IIE Transactions, 44(9), 765-779.
Khoo, M. B. C., Wong, V. H., Wu, Z., & Castagliola, P. (2011). Optimal Design of the Multivariate Synthetic Chart for Monitoring the Process Mean Vector Based on Median Run Length. Quality and Reliability Engineering International, 27(8), 979-1234.
Zuo, Y., Serfling, R. J. (2000). General Notions of Statistical Depth Function. Annals of Statistics, 28(2), 461-482.
Liu, R.Y., Singh, K. (1993). A Quality Index Based on Data Depth and Multivariate Rank Tests. Journal of the American Statistical Association, 88(421), 252-260.
Haupt, R. L., Haupt, S. E., Haupt S. E. (1998). Practical Genetic Algorithms. 2 New york, Wiley