@end deftypefn
@deftypefn {Function} {} PDF.BVNOR (@var{x0}, @var{x1}, @var{rho})
-@deftypefnx {Function} {} CDF.VBNOR (@var{x0}, @var{x1}, @var{rho})
+@deftypefnx {Function} {} CDF.BVNOR (@var{x0}, @var{x1}, @var{rho})
Bivariate normal distribution of two standard normal variables with
correlation coefficient @var{rho}. Two variates @var{x0} and @var{x1}
must be provided. Constraints: 0 <= @var{rho} <= 1, 0 <= @var{p} <= 1.
@end format
@end deffn
-@node Matrix IO
-@subsubsection I/O Function
+@node Matrix Statistical Distribution Functions
+@subsubsection Matrix Statistical Distribution Functions
+
+The matrix language can calculate several functions of standard
+statistical distributions using the same syntax and semantics as in
+@pspp{} transformation expressions. @xref{Statistical Distribution
+Functions}, for details.
+
+The matrix language extends the PDF, CDF, SIG, IDF, NPDF, and NCDF
+functions by allowing the first parameters to each of these functions
+to be a vector or matrix with any dimensions. In addition,
+@code{CDF.BVNOR} and @code{PDF.BVNOR} allow either or both of their
+first two parameters to be vectors or matrices; if both are non-scalar
+then they must have the same dimensions. In each case, the result is
+a matrix or vector with the same dimensions as the input populated
+with elementwise calculations.
+
+@node Matrix EOF Function
+@subsubsection EOF Function
This function works with files being used on the @code{READ} statement.