Page 23 - Computational Statistics Handbook with MATLAB

8 Computational Statistics Handbook with MATLAB

http://www.mathtools.net.
At this site, you can sign up to be notified of new submissions.
• The main website for user contributed statistics programs is StatLib
at Carnegie Mellon University. They have a new section containing
MATLAB code. The home page for StatLib is
http://lib.stat.cmu.edu
• We also provide the following internet sites that contain a list of
MATLAB code available for purchase or download.
http://dmoz.org/Science/Math/Software/MATLAB/
http://directory.google.com/Top/-

Science/Math/Software/MATLAB/

1.4 Further Reading

To gain more insight on what is computational statistics, we refer the reader
to the seminal paper by Wegman [1988]. Wegman discusses many of the dif-
ferences between traditional and computational statistics. He also includes a
discussion on what a graduate curriculum in computational statistics should
consist of and contrasts this with the more traditional course work. A later
paper by Efron and Tibshirani [1991] presents a summary of the new focus in
statistical data analysis that came about with the advent of the computer age.
Other papers in this area include Hoaglin and Andrews [1975] and Efron
[1979]. Hoaglin and Andrews discuss the connection between computing
and statistical theory and the importance of properly reporting the results
from simulation experiments. Efron’s article presents a survey of computa-
tional statistics techniques (the jackknife, the bootstrap, error estimation in
discriminant analysis, nonparametric methods, and more) for an audience
with a mathematics background, but little knowledge of statistics. Chambers
[1999] looks at the concepts underlying computing with data, including the
challenges this presents and new directions for the future.
There are very few general books in the area of computational statistics.
One is a compendium of articles edited by C. R. Rao [1993]. This is a fairly
comprehensive overview of many topics pertaining to computational statis-
tics. The new text by Gentle [2001] is an excellent resource in computational
statistics for the student or researcher. A good reference for statistical com-
puting is Thisted [1988].
For those who need a resource for learning MATLAB, we recommend a
wonderful book by Hanselman and Littlefield [1998]. This gives a compre-
hensive overview of MATLAB Version 5 and has been updated for Version 6
[Hanselman and Littlefield, 2001]. These books have information about the
many capabilities of MATLAB, how to write programs, graphics and GUIs,

© 2002 by Chapman & Hall/CRC