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Previous: <a href="Example-statistical-programs.html#Example-statistical-programs" accesskey="p" rel="previous">Example statistical programs</a>, Up: <a href="Statistics.html#Statistics" accesskey="u" rel="up">Statistics</a> &nbsp; [<a href="Function-Index.html#Function-Index" title="Index" rel="index">Index</a>]</p>
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<a name="References-and-Further-Reading-14"></a>
<h3 class="section">21.11 References and Further Reading</h3>

<p>The standard reference for almost any topic in statistics is the
multi-volume <cite>Advanced Theory of Statistics</cite> by Kendall and Stuart.
</p>
<ul class="no-bullet">
<li><!-- /@w --> Maurice Kendall, Alan Stuart, and J. Keith Ord.
<cite>The Advanced Theory of Statistics</cite> (multiple volumes)
reprinted as <cite>Kendall&rsquo;s Advanced Theory of Statistics</cite>.
Wiley, ISBN 047023380X.
</li></ul>

<p>Many statistical concepts can be more easily understood by a Bayesian
approach.  The following book by Gelman, Carlin, Stern and Rubin gives a
comprehensive coverage of the subject.
</p>
<ul class="no-bullet">
<li><!-- /@w --> Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin.
<cite>Bayesian Data Analysis</cite>.
Chapman &amp; Hall, ISBN 0412039915.
</li></ul>

<p>For physicists the Particle Data Group provides useful reviews of
Probability and Statistics in the &ldquo;Mathematical Tools&rdquo; section of its
Annual Review of Particle Physics. 
</p>
<ul class="no-bullet">
<li><!-- /@w --> <cite>Review of Particle Properties</cite>
R.M. Barnett et al., Physical Review D54, 1 (1996)
</li></ul>

<p>The Review of Particle Physics is available online at
the website <a href="http://pdg.lbl.gov/">http://pdg.lbl.gov/</a>.
</p>





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