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 2" 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]