참고문헌
- Boetticher, G. D. 2005. Nearest neighbor sampling for better defect prediction. ACM SIGSOFT Software Engineering Notes 30(4):1-6. https://doi.org/10.1145/1082983.1083173
- Cheo, Songwoon. 2007. Review of Acceptance Sampling Plans for Parts Per Million Fraction of Defectives. Journal of the Korea Safety Management and Science 9(4):137-142.
- Cheo, Songwoon. 2011, Practical Limitations of Theoretical Acceptance Sampling. Proceedings of the Safety Management and Science Conference. Korea Safety Management and Science, 2011.
- Chong, Hyeran, Bae, Kyounghan, Lee, Minkoo, Kwon, Hyuckmoo, and Hong, Sunghoon. 2020. Quality strategy for building a smart factory in the fourth industrial revolution. J Korean Soc Qual Manag. 48(1):87-105. https://doi.org/10.7469/JKSQM.2020.48.1.87
- Efron, B. and Tibshirani, R. J. 1994. An introduction to the bootstrap. CRC press.
- Feigenbaum, A.V. 1991. Total quality control. New York.
- Ferrell Jr, W.G. and Chhoker A. 2002. Design of economically optimal acceptance sampling plans with inspection error. Computers & Operations Research 29(10): 1283-1300. https://doi.org/10.1016/S0305-0548(01)00029-6
- Hodges, J. L. 1958. The significance probability of the Smirnov two-sample test. Arkiv for Matematik 3(5):469-486. https://doi.org/10.1007/BF02589501
- Holte, R. C. 1993. Very simple classification rule perform well on most commonly used datasets. Machine Learning 11(1): 63-90. https://doi.org/10.1023/A:1022631118932
- Hsu, L. F. and Hsu, J. T. 2012. Economic design of acceptance sampling plans in a two-stage supply chain. Advances in Decision Sciences.
- Kang, Pilsung, Kim, Dongil, Lee, Seungkyung, Doh, Seungyong, and Cho, Sungzoon. 2012. Estimating the reliability of virtual metrology predictions in semiconductor manufacturing: A novelty detection-based approach. Journal of Korean Institute of Industrial Engineers 38(1):46-56. https://doi.org/10.7232/JKIIE.2012.38.1.046
- Kim, Minseok. and Baek, Jungeol. 2012. Fail prediction of DRAM module outgoing quality assurance inspection using ensemble learning algorithm. IE interfaces 25(2):178-186. https://doi.org/10.7232/IEIF.2012.25.2.178
- KS Q ISO 2859-1. 2019. Sampling schemes indexed by acceptance quality limit (AQL) for lot-by -lot inspection, Korean Agency for Technology and Standards.
- Lee, Changki and Jung, Uk. 2019. Association-based unsupervised feature selection for high-dimensional categorical data. J Korean Soc Qual Manag. 47(3):537-552. https://doi.org/10.7469/JKSQM.2019.47.3.537
- Liu, F. T., Ting, K.M., and Zhou, Z.H. 2008. Isolation forest. 2008 eighth ieee international conference on data mining. IEEE.
- Mann, H. B. and Whitney, D. R. 1947. On a test of whether one of two random variables is stochastically larger than the other. The Annals of Mathematical Statistics, 50-60.
- Meinshausen, Nicolai, and Peter B. 2010. Stability selection. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 72(4):417-473. https://doi.org/10.1111/j.1467-9868.2010.00740.x
- Song, Hojun, Kim, Mingyu, and Shin, Wanseon. 2021. A Study on the relative importance of quality scorecard for open quality. J Korean Soc Qual Manag. 49(1):61-79. https://doi.org/10.7469/JKSQM.2021.49.1.61
- Sunter, S., Jurga, K., Dingene, P., and Vanhooren, R. 2014. Practical random sampling of potential defects for analog fault simulation. 2014 International Test Conference. IEEE.
- Yang, Inmo and Hwang, Inkeuk. 2018. Statistical Quality Control Statistical Process Control. Minyoungsa.