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Lecture Notes on Design & Analysis of Experiments

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Lecture Notes on Design and Analysis of Experiments

Prof. Felipe Campelo, Ph.D.

Here are my Lecture Notes on Design & Analysis of Experiments, originally developed for the course I used to offer twice a year for UFMG's Graduate Program in Electrical Engineering. I hope they might prove useful elsewhere.

I am releasing these lecture notes under a Creative Commons BY-NC-SA 4.0 license, which I believe is pretty open. If you want to use or modify this material, please do me a favor and cite the original source. I would also greatly appreciate if you let me know that you're using it - I take a small pride on these things. ;-)

As far as I am aware, these notes have also been used (in full, in part, or adapted) by:

The lectures are fully developed in Beamer, with R as the statistical software of choice. All example files and datasets will also be made available here.

Finally: some former students found Khan Academy's AP Statistics course (https://www.khanacademy.org/math/ap-statistics) helpful (either before the start of the course or in a weekly basis). For full disclosure: I have not taken this particular course.


Citation Info

If you're using these notes in any way, please let them know your source:

Felipe Campelo (2018), Lecture Notes on Design and Analysis of Experiments. Online: http://git.io/v3Kh8 Version 2.12; Creative Commons BY-NC-SA 4.0.

@Misc{Campelo2018-LNDoE,
title={Lecture Notes on Design and Analysis of Experiments},
author={Felipe Campelo}, 
howPublished={\url{http://git.io/v3Kh8}}, 
year={2018},
note={Version 2.12; Creative Commons BY-NC-SA 4.0.}}

Cheers,
Felipe Campelo
[email protected]


Open Source Agenda is not affiliated with "Design And Analysis Of Experiments" Project. README Source: fcampelo/Design-and-Analysis-of-Experiments
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