DOC: Fix typos and grammar

Fix typos and grammar.
InsightSoftwareConsortium · Sep 2, 2022 · fb0a377 · fb0a377
1 parent b9ee374
commit fb0a377
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diff --git a/Modules/Numerics/Statistics/include/itkGaussianMembershipFunction.h b/Modules/Numerics/Statistics/include/itkGaussianMembershipFunction.h
@@ -130,11 +130,11 @@ class ITK_TEMPLATE_EXPORT GaussianMembershipFunction : public MembershipFunction
   CovarianceMatrixType m_Covariance; // covariance matrix
 
   // inverse covariance matrix. automatically calculated
-  // when covariance matirx is set.
+  // when covariance matrix is set.
   CovarianceMatrixType m_InverseCovariance;
 
   // pre_factor (normalization term). automatically calculated
-  // when covariance matirx is set.
+  // when covariance matrix is set.
   double m_PreFactor;
 
   /** Boolean to cache whether the covariance is singular or nearly singular */

diff --git a/Modules/Numerics/Statistics/include/itkMahalanobisDistanceMembershipFunction.h b/Modules/Numerics/Statistics/include/itkMahalanobisDistanceMembershipFunction.h
@@ -134,7 +134,7 @@ class ITK_TEMPLATE_EXPORT MahalanobisDistanceMembershipFunction : public Members
   CovarianceMatrixType m_Covariance; // covariance matrix
 
   // inverse covariance matrix. automatically calculated
-  // when covariance matirx is set.
+  // when covariance matrix is set.
   CovarianceMatrixType m_InverseCovariance;
 
   /** Boolean to cache whether the covariance is singular or nearly singular */

diff --git a/Modules/Numerics/Statistics/include/itkMahalanobisDistanceMetric.h b/Modules/Numerics/Statistics/include/itkMahalanobisDistanceMetric.h
@@ -126,7 +126,7 @@ class ITK_TEMPLATE_EXPORT MahalanobisDistanceMetric : public DistanceMetric<TVec
   CovarianceMatrixType m_Covariance; // covariance matrix
 
   // inverse covariance matrix which is automatically calculated
-  // when covariance matirx is set.  This speed up the GetProbability()
+  // when covariance matrix is set.  This speeds up the GetProbability()
   CovarianceMatrixType m_InverseCovariance;
 
   double m_Epsilon{ 1e-100 };