References

A good mastership of the vast domain of Industrial Data Science can take several years and can only be obtained by a strong combination of theory and practice. As mentioned in the introduction chapter, our book is focused on the practice and in this bibliography we find some the necessary supporting theory.

The list below collects websites, books and articles referenced throughout this book. It is a curated set of some of the most relevant works available today in Six Sigma, Statistics, Data Science and programming with R.

Automotive Industry Action Group, AIAG -, ed. 2010. https://www.aiag.org/store/publications/details?ProductCode=MSA-4.

Bass, Issa. 2007. Six Sigma Statistics with Excel and Minitab. 1st ed. McGraw-Hill.

Bell, Stéphanie. 2001. The Beginers Guide to Uncertainty of Measurement. 2nd ed. Teddington, Middlesex, United Kingdom: National Phisical Laboratory. https://www.npl.co.uk/special-pages/guides/gpg11_uncertainty.

Broc, Guillaume. 2016. Stats Faciles Avec r. 1th ed. deBoeck.

Emilio L. Cano • Javier M. Moguerza, Mariano Prieto Corcoba. 2015. Quality Control with r. 1th ed. Use r! Springer New York Heidelberg Dordrecht London: Springer.

Emilio L. Cano, Andrés Redchuk, Javier M. Moguerza. 2012. Six Sigma with r. 1th ed. Vol. 36. Use r! Springer New York Heidelberg Dordrecht London: Springer.

Fox, John, and Sanford Weisberg. 2019. An r Companion to Applied Regression. 3rd edition. Thousand Oaks CA: SAGE publishing.

J E Muelaner, M Chappell, A Francis. 2015. “A Hybrid Measurement Systems Analysis and Uncertainty of Measurement Approach for Industrial Measurement in the Light Controlled Factory.” Laboratory for Integrated Metrology Applications, Dep. Of Mechanical Engineering, University of Bath, Bath, UK.

Minitab. 2016. “Understanding Analysis of Variance (ANOVA) and the f-Test.” https://blog.minitab.com/en/adventures-in-statistics-2/understanding-analysis-of-variance-anova-and-the-f-test.

———. 2019a. “Interpret the Key Results for 2 Variances.” https://support.minitab.com/en-us/minitab/18/help-and-how-to/statistics/basic-statistics/how-to/2-variances/interpret-the-results/key-results/.

———. 2019b. “What Is a Gage Repeatability and Reproducibility (r&r) Study?” https://support.minitab.com/en-us/minitab/18/help-and-how-to/quality-and-process-improvement/measurement-system-analysis/supporting-topics/gage-r-r-analyses/what-is-a-gage-r-r-study/.

Montgomery, Douglas C. 2012. Design and Analysis of Experiments. 8th ed. Wiley.

Roderik A.Munro, Govindarajan Ramu, and Daniel J.Zrymiak. 2015. The Certified Six Sigma Green Belt Handbook. 2nd ed. Milwaukee, Winsconsin: ASQ Quality Press.

Scrucca, Luca. 2004. “Qcc: An r Package for Quality Control Charting and Statistical Process Control.” R News 4/1: 11–17.

Yakir, Benjamin. 2011. Introduction to Statistical Thinking (with r, Without Calculus). Department of Statistics, The Hebrew University of Jerusalem.