1. 賴漢謜(2017)。變異係數指標之快速轉換抽樣系統。華梵大學工業工程與經營資訊學系碩士論文2. Aslam, M., Yen, C.H. and Jun, C. H. ( 2011 ). Variable Repetitive Group Sampling Plans with Process Loss Consideration. Journal of Statistical Computation and Simulation, 81(11), 1417-1432.
3. Aslam, M., Yen, C.H., Chang, C. H. and Jun, C. H. (2013). Multiple States Repetitive Group Sampling Plans with Process Loss Consideration. Applied Mathematical Modelling, 37, 9063-9075.
4. Balamurali, S. and Usha, M. (2012a). Optimal designing of a variables quick switching sampling system by minimizing the average sample number. Journal of Applied Statistical Science, 19(3), 55-66.
5. Balamurali, S. and Usha, M. (2012b). Variables quick switching system with double specification limits International Journal of Reliability. Quality and Safety Engineering. 19(2), 125008-1-17.
6. Balamurali, S. and Usha, M. (2014). Optimal designing of variables quick switching system based on the process capability index Cpk. Journal of Industrial and Production Engineering, 31(2), 85-94.
7. Balamurali, S. and Usha, M. (2016a). Designing Of variables quick switching sampling system by considering process loss functions. Communications in Statistics-Theory and Methods, 46(5).2299-2324.
8. Balamurali, S. and Usha, M. (2016b). Developing and designing of an efficient variables sampling system based on the process capability index. Journal of Applied Statistical Science, 87(7).1401-1415.
9. Castagliola, P., Amdouni, A., Taleb, H. and Celano, G. (2015). One-sided shewhart-type charts for monitoring the coefficient of variation in short production runs. Quality Technology Quantitative Management, 12(1), 53-67.
10. Calzada, M. E. and Scariano, S. M. (2013). A synthetic control chart for the coefficient of variation. Journal of Statistical Computation and Simulation, 83(5), 853–867.
11. Dodge, H.F.(1967).A Dual System of Acceptance Sampling Technical Report No.16.New Brunswick NJ: The Statistics Center, Rutgers-The Stat University.
12. Gomez, K.A. and Gomez, A.A. (1984). Statistical Procedures for Agricultural Research, 2nd ed, New York: John Wiley and Sons, Inc.
13. Govindaraju, K. and Kuralmani, V. (1992). Modified tables for the selection of qss–1 quick switching system for a given (AQL, LQL). Communications in Statistics-Simulation and Computation, 21(4), 1103-1123.
14. Iglewicz, B., Myers, R. and Howe, R. (1968). On the percentage points of the sample coefficient of variation. Biometrika, 55, 580-581.
15. Kang, C.W., Lee, M., Seong, Y. and Hawkins, D. (2007). A control chart for the coefficient of variation. Journal of Quality Technology, 39, 151-158.
16. Kumar, R. S., Indra, M. and Radhakrishnan, R. (2012). Selection of mixed sampling plan with QSS-1 (n; c N, c T) plan as attribute plan indexed through MAPD and LQL. Indian Journal of Science and Technology, 5(2), 2096-2099.
17. Liu, S. W. and Wu, C. W. (2016). A quick switching sampling system by variables for controlling lot fraction nonconforming. International Journal of Production Research, 54(6), 1839-1849.
18. Pearn, W. L. and Wu, C. W. (2006). Critical acceptance values and sample sizes of a variables sampling plan for very low fraction of defectives. Omega - International Journal of Management Science, 34(1), 90-101.
19. Pearn, W. L. and Wu, C. W. (2007). An effective decision making method for product acceptance. Omega – International Journal of Management Science, 35(1), 12-21.
20. Romboski, L. D. (1969). An investigation of quick switching acceptance sampling system. Doctoral diss., Rutgers – The State University, New Brunswick, NJ.
21. Senthilkumar, D., Ganesan, R. and Raffie, B. E. (2013). Construction and selection of single sampling quick switching variables system for given control limits involving minimum sum of risks. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 2(5), 1789-1800.
22. Senthilkumar, D., Manjula, D. and Raffie, B. E. (2016). The construction and selection of tightening sample size of quick switching variables sampling systems involving minimum sum of the risks. The journal of applied research, 2(4), 104-111.
23. Steel, R.G.D. and Torrie, J.H. (1980). Principles and Procedures of Statistics: a Biometrical Approach, 2nd ed, New York: McGraw-Hill.
24. Taye, G. and Njuho, P. (2008). Monitoring field variability using confidence interval for coefficient of variation. Communications in Statistics: Theory and Methods, 37(6), 831–846.
25. Tong, Y. and Chen, Q. (1991). Sampling inspection by variables for coefficient of variation. Mathematical Theory and Applied Probability, 3, 315-327(in Chinese).
26. Wu, C. W. and Liu, S.W. (2014). Developing a Sampling Plan by Variables Inspection for Controlling Lot Fraction of Defectives. Applied Mathematical Modelling, 38(9-10), 2303-2310.
27. Yan, A., Liu, S. and Dong, X. (2016). Sampling inspection by variables for coefficient of variation. Mathematical Theory and Applied Probability, 10(1), 1-2 (in Chinese).
28. Yen, C. H. and Chang, C. H. (2009). Designing Variables Sampling Plans with Process Loss Consideration. Communications in Statistics: Simulation and Computation, 38, 1579-1591.
29. Yen, C. H., Aslam, M. and Jun, C. H (2014). A Lot Inspection Sampling Plan Based on EWMA Yield Index. International Journal of Advanced Manufacturing Technology, 75, 861-868.
30. Yen, C. H., Chang, C. H. and Aslam, M. (2015). Repetitive Variable Acceptance Sampling Plan for One-Sided Specification. Journal of Statistical Computation and Simulation, 85(6), 1102-1116.
31. Yen, C. H., Chang, C. H., Aslam, M. and Jun, C. H. (2018). Multiple Dependent State Repetitive Sampling Plans for One-Sided process capability indices. Communications in Statistics -Theory and Methods, 47(6), 1403-1412.