diff --git a/doc/fitting.rst b/doc/fitting.rst
index cc14b26bf..cde5d895c 100644
--- a/doc/fitting.rst
+++ b/doc/fitting.rst
@@ -168,7 +168,7 @@ class as listed in the :ref:`Table of Supported Fitting Methods
 
 .. _fit-methods-table:
 
- Table of Supported Fitting Method, eithers:
+ Table of Supported Fitting Methods:
 
  +-----------------------+------------------------------------------------------------------+
  | Fitting Method        | ``method`` arg to :func:`minimize` or :meth:`Minimizer.minimize` |
@@ -382,7 +382,7 @@ these cases, the :attr:`errorbars` attribute of the fit result
 Akaike and Bayesian Information Criteria
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-The :class:`MinimizerResult` includes the tradtional chi-square and reduced chi-square statistics:
+The :class:`MinimizerResult` includes the traditional chi-square and reduced chi-square statistics:
 
 .. math::
    :nowrap:
@@ -493,7 +493,7 @@ The Minimizer object has a few public methods:
 
    perform fit using either :meth:`leastsq` or :meth:`scalar_minimize`.
 
-   :param method: name of fitting method.  Must be one of the naemes in
+   :param method: name of fitting method.  Must be one of the names in
                   :ref:`Table of Supported Fitting Methods <fit-methods-table>`
    :type  method:  str.
    :param params:  a :class:`Parameters` dictionary for starting values
@@ -505,7 +505,7 @@ The Minimizer object has a few public methods:
 .. versionchanged:: 0.9.0
    return value changed to :class:`MinimizerResult`
 
-   Additonal keywords are passed on to the correspond :meth:`leastsq`
+   Additional keywords are passed on to the correspond :meth:`leastsq`
    or :meth:`scalar_minimize` method.
 
 
diff --git a/doc/model.rst b/doc/model.rst
index e9ffb66ec..9b0b595a6 100644
--- a/doc/model.rst
+++ b/doc/model.rst
@@ -270,7 +270,7 @@ specifying one or more independent variables.
    If ``params`` is ``None``, the internal ``params`` will be used. If it
    is supplied, these will replace the internal ones.   If supplied,
    ``weights`` will be used to weight the calculated residual so that the
-   quantitiy minimized in the least-squares sense is ``weights*(data -
+   quantity minimized in the least-squares sense is ``weights*(data -
    fit)``.  ``weights`` must be an ndarray-like object of same size and
    shape as ``data``.
 
@@ -653,7 +653,7 @@ with a model.
 A :class:`ModelResult` has several attributes holding values for fit results,
 and several methods for working with fits.  These include statistics
 inherited from :class:`Minimizer` useful for comparing different models,
-includind `chisqr`, `redchi`, `aic`, and `bic`.
+including `chisqr`, `redchi`, `aic`, and `bic`.
 
 .. class:: ModelResult()
 
diff --git a/doc/parameters.rst b/doc/parameters.rst
index c3f06cca8..e9b53d7bb 100644
--- a/doc/parameters.rst
+++ b/doc/parameters.rst
@@ -203,7 +203,7 @@ The :class:`Parameters` class
     .. method:: loads(sval, **kws)
 
        use a JSON string representation of the :class:`Parameter` object in
-       `sval` to set all parameter settins. Optional keywords are sent
+       `sval` to set all parameter settings. Optional keywords are sent
        :py:func:`json.loads`.
 
     .. method:: load(file, **kws)