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• W2140292008 abstract "Quality and Reliability Engineering InternationalVolume 26, Issue 8 p. 789-793 ENBIS Retrospective Is statistics becoming the number one discipline for business and industry? Henry Wynn, Corresponding Author Henry Wynn [email protected] London School of Economics and Political Science, U.K.London School of Economics and Political Science, U.K===Search for more papers by this authorIrena Ograjenšek, Irena Ograjenšek [email protected] Faculty of Economics, University of Ljubljana, SloveniaSearch for more papers by this author Henry Wynn, Corresponding Author Henry Wynn [email protected] London School of Economics and Political Science, U.K.London School of Economics and Political Science, U.K===Search for more papers by this authorIrena Ograjenšek, Irena Ograjenšek [email protected] Faculty of Economics, University of Ljubljana, SloveniaSearch for more papers by this author First published: 29 December 2010 https://doi.org/10.1002/qre.1152Citations: 4Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL References 1 Steinberg DM, Bisgaard S, Doganaksoy N, Fisher N, Gunter B, Hahn G, Keller-McNulty S, Kettenring J, Meeker WJ, Montgomery DC, Wu CF. The future of industrial statistics: A panel discussion. Technometrics 2008; 50: 103– 127. 2 Banks D. Is industrial statistics out of control? Statistical Science 1993; 8: 356– 409. 3 Box G. Statistics and quality improvement. Journal of the Royal Statistical Society A (Statistics in Society) 1994; 157: 209– 229. 4 Brown E, Kass R. What is statistics (with discussion). The American Statistician 2009; 63: 105– 123. 5 Meng X-L. Desired and feared—What do we do now and over the next 50 years. The American Statistician 2009; 63: 202– 210. 6 Sacks J, Welch WJ, Mitchell TJ, Wynn HP. Design and analysis of computer experiments. Statistical Science 1989; 4: 409– 435. 7 Kaileth T. Linear Systems. Prentice-Hall: Englewood Cliffs, NJ, 1980. 8 Caines PE. Linear Stochastic Systems. Wiley: New York, 1988. 9 Durbin J, Koopman SJ. Time Series Analysis by State Space Methods. Oxford University Press: Oxford, 2001. 10 Rupert D. Statistics and Finance, an Introduction. Springer: New York, 2004. 11 Kurowicka D, Cooke RM. Uncertainty Analysis with High Dimensional Dependence Modelling. Wiley: New York, 2006. 12 Serra J. An introduction to morphological industrial control via case studies. ISBIS 2010; invited talk. 13 Hastie I, Tibshirani R, Friedman J. Elements of Statistical Learning: Data-mining, Inference and Prediction. Springer: New York, 2009. 14 Coleman S, Greenfield T, Stewardson D, Montogomery DL. Statistical Practice in Business and Industry. Wiley: Chichester, 2008. 15 MacKenzie K. Engineering risk: Oil spills, climate change, and the financial crisis. Financial Times 2010. 16 Hand DJ. Modern statistics, the myth and the magic. Journal of the Royal Statistical Society A (Statistics in Society) 2009; 172: 287– 306. 17 Peña D. George Box: An interview for the International Journal of Forecasting. International Journal of Forecasting 2001; 17: 1– 9. Citing Literature Volume26, Issue8Special Issue: Business and Industrial Statistics: Developments and Industrial Practices in Quality and ReliabilityDecember 2010Pages 789-793 ReferencesRelatedInformation" @default.
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