참고문헌 (20)

1. Boetticher, G. D. 2005. Nearest neighbor sampling for better defect prediction. ACM SIGSOFT Software Engineering Notes 30(4):1-6. 

   상세보기

2. 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. 

3. Cheo, Songwoon. 2011, Practical Limitations of Theoretical Acceptance Sampling. Proceedings of the Safety Management and Science Conference. Korea Safety Management and Science, 2011. 

4. 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. 

   원문보기 상세보기

5. Efron, B. and Tibshirani, R. J. 1994. An introduction to the bootstrap. CRC press. 

6. Feigenbaum, A.V. 1991. Total quality control. New York. 

7. 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. 

   상세보기

8. Hodges, J. L. 1958. The significance probability of the Smirnov two-sample test. Arkiv for Matematik 3(5):469-486. 

   상세보기

9. Holte, R. C. 1993. Very simple classification rule perform well on most commonly used datasets. Machine Learning 11(1): 63-90. 

   상세보기

10. Hsu, L. F. and Hsu, J. T. 2012. Economic design of acceptance sampling plans in a two-stage supply chain. Advances in Decision Sciences. 

11. 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. 

    원문보기 상세보기

12. 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. 

    원문보기 상세보기

13. 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. 

14. 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. 

    원문보기 상세보기

15. Liu, F. T., Ting, K.M., and Zhou, Z.H. 2008. Isolation forest. 2008 eighth ieee international conference on data mining. IEEE. 

16. 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. 

17. Meinshausen, Nicolai, and Peter B. 2010. Stability selection. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 72(4):417-473. 

    상세보기

18. 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. 

19. 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. 

20. Yang, Inmo and Hwang, Inkeuk. 2018. Statistical Quality Control Statistical Process Control. Minyoungsa.