SDpro— THE SOFTWARE PACKAGE FOR STATISTICAL PROCESSING OF EXPERIMENTAL INFORMATION
K. J. Kachiashvili () and
D. I. Melikdzhanjan ()
Additional contact information
K. J. Kachiashvili: School of Mathematical Sciences of GC University Lahore (Pakistan), 35-C/II, Gulberg III, Lahore, Pakistan;
D. I. Melikdzhanjan: I. Vekua Institute of Applied Mathematics of the Tbilisi State University, 2, st. University, Tbilisi, 380043, Georgia
International Journal of Information Technology & Decision Making (IJITDM), 2010, vol. 09, issue 01, 115-144
Abstract:
There is an original software package offered for statistical processing of experimental information. It is designated for users who are not professionals in the field of applied statistics and computer science. The package is universal, simple and convenient for understanding and application. The problems and the algorithms realized in the package, the features and the opportunities of their application are described. Those features which distinguish favorably this package from other similar products are emphasized. The examples showing the efficiency of the algorithms realized in the package are cited. Serviceability of the suggested package was tested in various modes at solving the problems from different fields of knowledge. The obtained results justify the stability and the reliability of algorithms and the high accuracy of the calculated values.
Keywords: Software package; statistical processing; experimental information; efficiency; originality (search for similar items in EconPapers)
Date: 2010
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219622010003634
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:09:y:2010:i:01:n:s0219622010003634
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0219622010003634
Access Statistics for this article
International Journal of Information Technology & Decision Making (IJITDM) is currently edited by Yong Shi
More articles in International Journal of Information Technology & Decision Making (IJITDM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().