Revision: 10345
http://octave.svn.sourceforge.net/octave/?rev=10345&view=rev
Author: asnelt
Date: 2012-05-01 16:18:26 +0000 (Tue, 01 May 2012)
Log Message:
-----------
Replaced reference to statistics book.
Modified Paths:
--------------
trunk/octave-forge/main/statistics/inst/mnrnd.m
Modified: trunk/octave-forge/main/statistics/inst/mnrnd.m
===================================================================
--- trunk/octave-forge/main/statistics/inst/mnrnd.m 2012-05-01 12:41:10 UTC (rev 10344)
+++ trunk/octave-forge/main/statistics/inst/mnrnd.m 2012-05-01 16:18:26 UTC (rev 10345)
@@ -27,7 +27,7 @@
## sample. The elements of @var{n} must be non-negative integers.
##
## @item
-## @var{n} is the second parameter of the multinomial distribution. @var{p} can
+## @var{p} is the second parameter of the multinomial distribution. @var{p} can
## be a vector with the probabilities of the categories or a matrix with each
## row containing the probabilities of a multinomial sample. If @var{p} has
## more than one row and @var{n} is non-scalar, then the number of rows of
@@ -37,6 +37,7 @@
## @var{s} is the number of multinomial samples to be generated. @var{s} must
## be a non-negative integer. If @var{s} is specified, then @var{n} must be
## scalar and @var{p} must be a vector.
+## @end itemize
##
## @subheading Return values
##
@@ -56,19 +57,19 @@
## @example
## @group
## n = 10;
-## p = [0.2 0.5 0.3];
+## p = [0.2, 0.5, 0.3];
## x = mnrnd (n, p);
## @end group
##
## @group
## n = 10 * ones (3, 1);
-## p = [0.2 0.5 0.3];
+## p = [0.2, 0.5, 0.3];
## x = mnrnd (n, p);
## @end group
##
## @group
## n = (1:2)';
-## p = [0.2 0.5 0.3; 0.1 0.1 0.8];
+## p = [0.2, 0.5, 0.3; 0.1, 0.1, 0.8];
## x = mnrnd (n, p);
## @end group
## @end example
@@ -81,8 +82,8 @@
## Handbook with MATLAB}. Appendix E, pages 547-557, Chapman & Hall/CRC, 2001.
##
## @item
-## Athanasios Papoulis. @cite{Probability, Random Variables, and Stochastic
-## Processes}. pages 104 and 148, McGraw-Hill, New York, second edition, 1984.
+## Merran Evans, Nicholas Hastings and Brian Peacock. @cite{Statistical
+## Distributions}. pages 134-136, Wiley, New York, third edition, 2000.
## @end enumerate
## @end deftypefn
@@ -156,7 +157,7 @@
%!test
%! n = 10;
-%! p = [0.2 0.5 0.3];
+%! p = [0.2, 0.5, 0.3];
%! x = mnrnd (n, p);
%! assert (size (x), size (p));
%! assert (all (x >= 0));
@@ -165,7 +166,7 @@
%!test
%! n = 10 * ones (3, 1);
-%! p = [0.2 0.5 0.3];
+%! p = [0.2, 0.5, 0.3];
%! x = mnrnd (n, p);
%! assert (size (x), [length(n) length(p)]);
%! assert (all (x >= 0));
@@ -174,7 +175,7 @@
%!test
%! n = (1:2)';
-%! p = [0.2 0.5 0.3; 0.1 0.1 0.8];
+%! p = [0.2, 0.5, 0.3; 0.1, 0.1, 0.8];
%! x = mnrnd (n, p);
%! assert (size (x), size (p));
%! assert (all (x >= 0));
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