{% extends 'base.html' %} {% block content %} {% set index=True %} {# ========= header =========== #} {% set notes_title="Experiment Design" %} {% set lead=" Notes on topics in experiment design, including factorial and fractional factorial designs, composite designs, Monte Carlo, and general linear models. " %} {% set link="https://github.com/charlesreid1/experiment-design-notes" %} {% include 'notes_head.html' %} {# ========= topic 1 =========== #} {% set anchor="experiment-design" %} {% set cluster="Experiment Design" %} {% include 'notes_clustertitle.html' %}
{% set href="/ED_1_Introduction.html" %} {% set imgsrc="http://placehold.it/700x400" %} {% set nb="Introduction to Experiment Design" %} {% set card="An introduction to concepts and notation in experiment design." %} {% include 'notes_notebook.html' %}
{# ========= topic 2 =========== #} {% set anchor="response-surfaces" %} {% set cluster="Response Surfaces" %} {% include 'notes_clustertitle.html' %}
{% set href="/ED_2A_RSM.html" %} {% set imgsrc="http://placehold.it/700x400" %} {% set nb="Linear Response Surface Models" %} {% set card="Basics of creating linear response surface models." %} {% include 'notes_notebook.html' %} {% set href="/ED_2B_Goodness.html" %} {% set imgsrc="http://placehold.it/700x400" %} {% set nb="Goodness of Fit Measures" %} {% set card="Goodness of fit measures for determining how well a response surface model represents the underlying variance in the data." %} {% include 'notes_notebook.html' %} {% set href="/ED_2C_LeastSquaresResponseSurface.html" %} {% set imgsrc="http://placehold.it/700x400" %} {% set nb="Goodness of Fit Measures" %} {% set card="Applying least squares models to the response surface methodology." %} {% include 'notes_notebook.html' %} {# {% set href="#" %} {% set imgsrc="http://placehold.it/700x400" %} {% set nb="Screening Designs" %} {% set card="Plackett-Burmann screening designs to estimate main effects with a small number of experiments." %} {% include 'notes_notebook.html' %}
{% set href="#" %} {% set imgsrc="http://placehold.it/700x400" %} {% set nb="Factorial Designs" %} {% set card="Building on the results of screening designs to assemble linear models." %} {% include 'notes_notebook.html' %} {% set href="#" %} {% set imgsrc="http://placehold.it/700x400" %} {% set nb="Sequential Assembly" %} {% set card="From sreening designs, to factorial designs, to composite designs: building on results sequentially is how sequential assembly of response surfaces is done." %} {% include 'notes_notebook.html' %} #}
{# ========= topic 3 =========== #} {% set anchor="monte-carlo" %} {% set cluster="Monte Carlo" %} {% include 'notes_clustertitle.html' %}
{% set href="/Topic3Notebook1.html" %} {% set imgsrc="http://placehold.it/700x400" %} {% set nb="Sampling Input Distributions" %} {% set card="Monte Carlo method to sample response surface input variable distributions." %} {% include 'notes_notebook.html' %}
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#} {# ========= fin =========== #} {% endblock %}