.. _method-multilevel_sampling-allocation_target-standard_deviation:

""""""""""""""""""
standard_deviation
""""""""""""""""""


Fit MLMC sample allocation to control the variance of the estimator for the standard deviation.


.. toctree::
   :hidden:
   :maxdepth: 1

   method-multilevel_sampling-allocation_target-standard_deviation-optimization


**Specification**

- *Alias:* None

- *Arguments:* None


**Child Keywords:**

+-------------------------+--------------------+--------------------+-----------------------------------------------+
| Required/Optional       | Description of     | Dakota Keyword     | Dakota Keyword Description                    |
|                         | Group              |                    |                                               |
+=========================+====================+====================+===============================================+
| Optional                                     | `optimization`__   | Solve the optimization problem for the sample |
|                                              |                    | allocation by numerical optimization in the   |
|                                              |                    | case of sampling estimator targeting the      |
|                                              |                    | standard_deviation.                           |
+----------------------------------------------+--------------------+-----------------------------------------------+

.. __: method-multilevel_sampling-allocation_target-standard_deviation-optimization.html



**Description**


Computes the variance of the sampling estimator for the standard_deviation and fits sample allocation by solving the corresponding optimization problem.



**Examples**


The following method block

.. code-block::

    method,
     model_pointer = 'HIERARCH'
            multilevel_sampling
       pilot_samples = 20 seed = 1237
       convergence_tolerance = .01
       allocation_target = standard_deviation


uses the standard_deviation as sample allocation target by computing its variance.