<p>The current excerpt of <a href="https://stats.stackexchange.com/questions/tagged/sensitivity-analysis" class="post-tag" title="show questions tagged &#39;sensitivity-analysis&#39;" rel="tag">sensitivity-analysis</a> is wrong; it's not necessarily about violations, just about variations in inputs, possibly unseen:</p>

<blockquote>
  <p>Sensitivity analysis refers to methods to see if violations of assumptions of a model make large differences to results.</p>
</blockquote>

<p>What's the right definition? For example, the definition on the Wikipedia page for <a href="https://en.wikipedia.org/wiki/Sensitivity_analysis" rel="nofollow noreferrer">sensitivity analysis</a> says:</p>

<blockquote>
  <p>Sensitivity analysis is the study of how the uncertainty in the output of a mathematical model or system (numerical or otherwise) can be apportioned to different sources of uncertainty in its inputs.</p>
</blockquote>

<p>(I was about to create the same tag at DataScience.SE and copy whatever definition we decide on.)</p>
