Methods To Restructure The Statistical Communities
AbstractIn view of knowing the essence of phenomena it is necessary to perform statistical data processing operations. This allows for shifting from individual data to derived, synthetic indicators that highlight the essence of various phenomena. The high volume and diversity of processing operations presuppose developing plans of computerised data processing. To identify distinct and homogenous groups and classes it is necessary to realise well-pondered groupings and classifications that presuppose to comply with the requirements presented in the article.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Institute of National Economy in its journal Romanian Journal of Economics.
Volume (Year): 21 (2005(XV))
Issue (Month): 2(30) (December)
Contact details of provider:
Postal: Casa Academiei, Calea 13 Septembrie nr.13, sector 5, Bucureşti 761172
Phone: 004 021 318.24.67
Fax: 004 021 318.24.67
Web page: http://www.ien.ro/
More information through EDIRC
computerized data processing; statistics; synthetic indicators;
Find related papers by JEL classification:
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Valentina Vasile).
If references are entirely missing, you can add them using this form.