EconPapers    
Economics at your fingertips  
 

Statistical theory of spectra: statistical moments as descriptors in the theory of molecular similarity

D. Bielińska-Wąż (), P. Wąż and S. C. Basak

The European Physical Journal B: Condensed Matter and Complex Systems, 2006, vol. 50, issue 1, 333-338

Abstract: Statistical moments of the intensity distributions are used as molecular descriptors. They are used as a basis for defining similarity distances between two model spectra. Parameters which carry the information derived from the comparison of shapes of the spectra and are related to the number of properties taken into account, are defined. Copyright EDP Sciences/Società Italiana di Fisica/Springer-Verlag 2006

Keywords: 29.85.+c Computer data analysis, 07.05.Kf Data analysis: algorithms and implementation; data management, 33.20.-t Molecular spectra, 33.70.-w Intensities and shapes of molecular spectral lines and bands, (search for similar items in EconPapers)
Date: 2006
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1140/epjb/e2006-00124-y (text/html)
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:spr:eurphb:v:50:y:2006:i:1:p:333-338

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/10051

DOI: 10.1140/epjb/e2006-00124-y

Access Statistics for this article

The European Physical Journal B: Condensed Matter and Complex Systems is currently edited by P. Hänggi and Angel Rubio

More articles in The European Physical Journal B: Condensed Matter and Complex Systems from Springer, EDP Sciences
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:eurphb:v:50:y:2006:i:1:p:333-338