Adds basics docs

docs/basics.rst

@@ -0,0 +1,31 @@
+======
+Basics
+======
+
+What is Sensitivity Analysis?
+-----------------------------
+
+According to `Wikipedia <https://en.wikipedia.org/wiki/Sensitivity_analysis>`_,
+sensitivity analysis is "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."  The sensitivity of each input is often represented by a numeric value,
+called the *sensitivity index*.  Sensitivity indices come in several forms:
+
+1. First-order indices: measures the contribution to the output variance by a single
+   model input alone.
+
+2. Second-order indices: measures the contribution to the output variance caused by
+   the interaction of two model inputs.
+
+3. Total-order index: measures the contribution to the output variance caused by
+   a model input, including both its first-order effects (the input varying alone)
+   and all higher-order interactions.
+
+SALib is an open source library written in Python for performing
+sensitivity analysis.  A number of different sensitivity analysis methods are
+available
+
+
+
+SALib is broken into two parts: the *sample generator* and the *sensitivity analysis*.

docs/index.rst

@@ -10,6 +10,7 @@ effects of model inputs or exogenous factors on outputs of interest.
    :maxdepth: 2
 
    getting-started
+   basics
 
 
 Supported Methods
@@ -22,12 +23,4 @@ Supported Methods
 * Fractional Factorial Sensitivity Analysis ([`Saltelli et al. 2008 <http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470059974.html>`_])
 
 
-Indices and tables
-==================
-
-* :ref:`genindex`
-* :ref:`modindex`
-* :ref:`search`
-
-