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ADD jeff wu's epic textbook

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Nathan Dwarshuis 2021-08-02 18:50:59 -04:00
parent be2bf9fa95
commit 5fab51b47c
2 changed files with 16 additions and 5 deletions
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12
tex/references.bib
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@ -2451,6 +2451,18 @@ CONCLUSIONS: We developed a simplified, semi-closed system for the initial selec
publisher = {Wiley}, publisher = {Wiley},
} }
@Book{Wu2009,
author = {Wu, Hamada},
publisher = {John Wiley \& Sons},
title = {Experiments 2e},
year = {2009},
isbn = {0471699462},
month = jul,
ean = {9780471699460},
pagetotal = {756},
url = {https://www.ebook.de/de/product/8324352/wu\_hamada\_experiments\_2e.html},
}
@Comment{jabref-meta: databaseType:bibtex;} @Comment{jabref-meta: databaseType:bibtex;}
@Comment{jabref-meta: grouping: @Comment{jabref-meta: grouping:

9
tex/thesis.tex
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@ -1033,10 +1033,10 @@ described\cite{Budagian2004}.
The \gls{dms} system has a number of parameters that can be optimized, and a The \gls{dms} system has a number of parameters that can be optimized, and a
\gls{doe} is an ideal framework to test multiple parameters simultaneously. The \gls{doe} is an ideal framework to test multiple parameters simultaneously. The
goal of \gls{doe} is to answer a data-driven question with the least number of goal of \gls{doe} is to answer a data-driven question with the least number of
resources. It was developed in many non-biological industries throughout the resources\cite{Wu2009}. It was developed in many non-biological industries
\nth{20} century such as the automotive and semiconductor industries where throughout the \nth{20} century such as the automotive and semiconductor
engineers needed to minimize downtime and resource consumption on full-scale industries where engineers needed to minimize downtime and resource consumption
production lines. on full-scale production lines.
At its core, a \gls{doe} is simply a matrix of conditions to test where each row At its core, a \gls{doe} is simply a matrix of conditions to test where each row
is usually called a `run' and corresponds to one experimental unit to which the is usually called a `run' and corresponds to one experimental unit to which the
@ -1055,7 +1055,6 @@ possible. While there are many types of \glspl{doe} depending on the nature
of the parameters and the goal of the experimenter, they all share common of the parameters and the goal of the experimenter, they all share common
principles: principles:
% BACKGROUND cite wu hamada... because I feel like it
\begin{description} \begin{description}
\item [randomization --] The order in which the runs are performed should \item [randomization --] The order in which the runs are performed should
ideally be as random as possible. This is to mitigate against any confounding ideally be as random as possible. This is to mitigate against any confounding