In industRial: Data, Functions and Support Materials from the Book "industRial Data Science"

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References {#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 mentionned 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.

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Imprint

Many packages are available for editing documentation, from notes to blogs up to complete websites. In this book we've opted to use the R package {Bookdown} from Yihui Xie further customized with a layout developed by Matthew J. C. Crump.

An important aspect to ensure reproducibility of the examples along the time and between users is to have the same programming setup. We're showing below our setup at the time of rendering the book.

devtools::session_info()[[1]]

Disclaimer

This book presents a variety of software tools and recommended approaches for industrial data analysis. It is incumbent upon the user to execute judgment in their use. The author does not provide any guarantee, expressed or implied, with regard to the general or specific applicability of the software, the range of errors that may be associated with it, or the appropriateness of using them in any subsequent calculation, design, or decision process. The author accepts no responsibility for damages, if any, suffered by any reader or user of this handbook as a result of decisions made or actions taken on information contained therein.

Licence

This book and its companion package are made available under a GPLv3 licence granting end users the freedom to run, study, share, and modify the software.

industRial documentation built on June 11, 2021, 5:10 p.m.