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Discussion

Discussion of “Analyzing Behavioral Big Data: Methodological, practical, ethical, and moral issues”

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References

  • Deming, W. E. 1982. Out of the Crisis. Cambridge, MA: Massachusetts Institute of Technology, Centre for Advanced Educational Services.
  • Hoerl, R. W., and R. D. Snee. 2010. Closing the gap. Quality Progress 43(5): 52–53.
  • James, G., D. M. Witten, T. Hastie, and R. Tibshirani. 2013. Introduction to statistical learning. Springer Series in Statistics.
  • Jones-Farmer, L. A., J. D. Ezell, and B. T. Hazen. 2014. Applying control chart methods to enhance data quality. Technometrics 56 (1):29–41.
  • Lu, J. 2002. Predicting customer churn in the telecommunications industry: An application of survival analysis modeling using SAS. SAS User Group International (SUGI27) Online Proceedings, Paper No. 114–27. Available at http://www2.sas.com/proceedings/sugi27/p114-27.pdf(accessed May 12, 2016).
  • Megahed, F., and L. A. Jones-Farmer. 2015. A statistical process monitoring perspective on big data. Frontiers in statistical quality control 11:29–47.
  • Megahed, F. M., W. H. Woodall, and J. A. Camelia. 2011. A review and perspective on control charting with image data. Journal of Quality Technology 43 (2):83–98.
  • Montgomery, D. C., and W. H. Woodall. 2008. An overview of six Sigma. International Statistical Review 76(3): 329–346.
  • Pyzdek, T., and P. Keller. 2014. The Six Sigma Handbook, 4th edition. McGraw Hill.
  • Shewhart, W. A. 1939. Statistical Method from the Viewpoint of Quality Control. New York, NY: Dover Publications, Inc.
  • Shmueli, G., P. B. Bruce, and N. R. Patel. 2016. Data mining for business analytics, 3rd ed. Hoboken, NJ: Wiley.
  • Steiner, S. H., and R. J. MacKay. 2005. Statistical Engineering. Milwaukee, WI: ASQ Quality Press.
  • Weese, M., W. Martinez, F. Megahed, and L. A. Jones-Farmer. 2016. Statistical learning methods applied to process monitoring: An overview and perspective. Journal of Quality Technology 48 (1):4–27.
  • Wilson, J. D., N. T. Stevens, and W. H. Woodall. 2016. Modeling and detecting change in time-varying networks via a dynamic degree corrected stochastic block model. Submitted for publication. arXiv preprint: arXiv:1605.04049.
  • Woodall, W. H., M. Zhao, K. Paynabar, R. Sparks, and J. D. Wilson. 2016. An overview and perspective on social network monitoring. IIE Transactions in press. arXiv preprint: arXiv:1603.09453.
  • Woodall, W. H. 2006. The use of control charts in health-care and public-health surveillance. Journal of Quality Technology 38 (2):89–104.

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