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-rw-r--r--libs/math/doc/html/math_toolkit/dist_ref/dists/nc_t_dist.html18
1 files changed, 9 insertions, 9 deletions
diff --git a/libs/math/doc/html/math_toolkit/dist_ref/dists/nc_t_dist.html b/libs/math/doc/html/math_toolkit/dist_ref/dists/nc_t_dist.html
index c6f521ba3..c9d9b43df 100644
--- a/libs/math/doc/html/math_toolkit/dist_ref/dists/nc_t_dist.html
+++ b/libs/math/doc/html/math_toolkit/dist_ref/dists/nc_t_dist.html
@@ -3,8 +3,8 @@
<meta http-equiv="Content-Type" content="text/html; charset=US-ASCII">
<title>Noncentral T Distribution</title>
<link rel="stylesheet" href="../../../math.css" type="text/css">
-<meta name="generator" content="DocBook XSL Stylesheets V1.78.1">
-<link rel="home" href="../../../index.html" title="Math Toolkit 2.1.0">
+<meta name="generator" content="DocBook XSL Stylesheets V1.77.1">
+<link rel="home" href="../../../index.html" title="Math Toolkit 2.2.0">
<link rel="up" href="../dists.html" title="Distributions">
<link rel="prev" href="nc_f_dist.html" title="Noncentral F Distribution">
<link rel="next" href="normal_dist.html" title="Normal (Gaussian) Distribution">
@@ -67,7 +67,7 @@
This gives the following PDF:
</p>
<p>
- <span class="inlinemediaobject"><img src="../../../../equations/nc_t_ref1.png"></span>
+ <span class="inlinemediaobject"><img src="../../../../equations/nc_t_ref1.svg"></span>
</p>
<p>
where <sub>1</sub>F<sub>1</sub>(a;b;x) is a confluent hypergeometric function.
@@ -77,8 +77,8 @@
values of &#957; and &#948;:
</p>
<p>
- <span class="inlinemediaobject"><img src="../../../../graphs/nc_t_pdf.png" align="middle"></span>
- <span class="inlinemediaobject"><img src="../../../../graphs/nc_t_cdf.png" align="middle"></span>
+ <span class="inlinemediaobject"><img src="../../../../graphs/nc_t_pdf.svg" align="middle"></span>
+ <span class="inlinemediaobject"><img src="../../../../graphs/nc_t_cdf.svg" align="middle"></span>
</p>
<h5>
<a name="math_toolkit.dist_ref.dists.nc_t_dist.h0"></a>
@@ -300,7 +300,7 @@ when the normal distribution
This uses the following formula for the CDF:
</p>
<p>
- <span class="inlinemediaobject"><img src="../../../../equations/nc_t_ref2.png"></span>
+ <span class="inlinemediaobject"><img src="../../../../equations/nc_t_ref2.svg"></span>
</p>
<p>
Where I<sub>x</sub>(a,b) is the incomplete beta function, and &#934;(x) is the normal CDF
@@ -316,13 +316,13 @@ when the normal distribution
therefore I<sub>x</sub>(a,b) = 1 and:
</p>
<p>
- <span class="inlinemediaobject"><img src="../../../../equations/nc_t_ref3.png"></span>
+ <span class="inlinemediaobject"><img src="../../../../equations/nc_t_ref3.svg"></span>
</p>
<p>
From this we can easily show that:
</p>
<p>
- <span class="inlinemediaobject"><img src="../../../../equations/nc_t_ref4.png"></span>
+ <span class="inlinemediaobject"><img src="../../../../equations/nc_t_ref4.svg"></span>
</p>
<p>
and therefore we have a means to compute either the probability or its
@@ -335,7 +335,7 @@ when the normal distribution
The PDF can be computed by a very similar method using:
</p>
<p>
- <span class="inlinemediaobject"><img src="../../../../equations/nc_t_ref5.png"></span>
+ <span class="inlinemediaobject"><img src="../../../../equations/nc_t_ref5.svg"></span>
</p>
<p>
Where I<sub>x</sub><sup>'</sup>(a,b) is the derivative of the incomplete beta function.