CALL FOR PAPERS
COMPUTATIONAL STATISTICS & DATA ANALYSIS
2nd Special Issue on
STATISTICAL ALGORITHMS AND SOFTWARE
http://www.elsevier.com/locate/csda

We are inviting submissions for the 2nd special issue of
"Computational Statistics and Data Analysis" dealing with Statistical
Algorithms and Software.  The first special issue has been published
recently (52(2), 2007), which can be found at:
http://www.sciencedirect.com/science/journal/01679473

The DEADLINE for submissions is the 24th December, 2007.

The notification of decision is the 25th March, 2008.

Papers should be submitted using the Elsevier Electronic Submission
tool EES: http://ees.elsevier.com/csda

(In the EES please chose the special issue on "Statistical Algorithms
and Software" and the Editor responsible for the special issues).


The journal "Computational Statistics and Data Analysis" aims to
publish, inter alia, papers with a strong algorithmic and software
component.  These papers will appear in the first section of the
journal under the heading - "Computational Statistics".

In addition, the journal offers authors the possibility to enhance
their articles by including multimedia files along with the online
article.  These may be in the form of algorithms or software. These
files will appear embedded in the article on ScienceDirect at
www.sciencedirect.com/science/journal/01679473.

Over time, an archive of statistical algorithms will be established at
this site. The files should be in non-proprietary formats, to ensure
that the long-term archival needs of electronic publishing are met.
The multimedia files will also be listed on the web page of the
"International Association for Statistical Computing".

The files will be freely available at this site. Copyright of the
files will remain with the authors and their use will require the
citation of the related article (journal, author, title and date of
the publication).  No liability is assumed by the contributors, the
publisher, or the IASC.

Scope
-----

Significant research contributions relating to the design, analysis
and implementation of algorithms and software to support statistical
methods and applications will be considered for inclusion in the
"Computational Statistics" section of CSDA.

Algorithms and software contributions must be of use in statistical
applications.  An algorithm will be considered for inclusion if it
provides a novel approach to the solution of a statistical problem, or
has a performance superior to that of the existing algorithms.  This
might entail improvements in execution speed, numerical stability,
portability, etc.

Submissions
-----------

A software submission must include test data to allow the correctness
of the software to be assessed.  The test data should be sufficiently
comprehensive to demonstrate the robustness of the software in all
relevant circumstances.

When presenting the statistical algorithms, the issues of accuracy,
complexity and portability must be addressed. A complete program for
testing the algorithm should be supplied so that results obtained
theoretically can be verified in practice. The algorithm must be
complete, portable, well documented, and well structured. There is no
standard requirement for pseudo codes. However, implementations should
be expressed in a widely used language.

Submissions of brief notes and remarks concerning existing statistical
algorithms and software are also encouraged.

Authors who are uncertain about the suitability of their papers should
contact the special issue editors. All submissions must contain
original unpublished work not being considered for publication
elsewhere. Submissions will be refereed according to standard
procedures for Computational Science and Data Analysis.  Information
about the journal can be found at http://www.elsevier.com/locate/csda

The special issue editors:

Cristian Gatu
VTT Technical Research Centre of Finland
Tietotie 2, Espoo, P.O. Box 1000, FI-02044 VTT, Finland
E-mail: [log in to unmask]


Bruce D. McCullough,
Department of Decision Sciences
Drexel University
Philadelphia PA 19104, USA
E-mail: [log in to unmask]