From 5fab51b47cde44c700fd0742a050803cf723a1d1 Mon Sep 17 00:00:00 2001 From: ndwarshuis Date: Mon, 2 Aug 2021 18:50:59 -0400 Subject: [PATCH] ADD jeff wu's epic textbook --- tex/references.bib | 12 ++++++++++++ tex/thesis.tex | 9 ++++----- 2 files changed, 16 insertions(+), 5 deletions(-) diff --git a/tex/references.bib b/tex/references.bib index adeb255..cbc2c9b 100644 --- a/tex/references.bib +++ b/tex/references.bib @@ -2451,6 +2451,18 @@ CONCLUSIONS: We developed a simplified, semi-closed system for the initial selec 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: grouping: diff --git a/tex/thesis.tex b/tex/thesis.tex index 67b6fd3..b7c9e5d 100644 --- a/tex/thesis.tex +++ b/tex/thesis.tex @@ -1033,10 +1033,10 @@ described\cite{Budagian2004}. 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 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 -\nth{20} century such as the automotive and semiconductor industries where -engineers needed to minimize downtime and resource consumption on full-scale -production lines. +resources\cite{Wu2009}. It was developed in many non-biological industries +throughout the \nth{20} century such as the automotive and semiconductor +industries where engineers needed to minimize downtime and resource consumption +on full-scale production lines. 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 @@ -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 principles: -% BACKGROUND cite wu hamada... because I feel like it \begin{description} \item [randomization --] The order in which the runs are performed should ideally be as random as possible. This is to mitigate against any confounding