By Topic

Natural histogram for very small population statistics

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Rugescu, R.D. ; Fac. of Aerosp. Eng., Univ. Politeh. of Bucharest & COMOTI, Bucharest ; Silivestru, V. ; Aldea, S.

A new method is proposed that sharply increases the amount of statistical information extracted from experimental data. The new statistical technology is particularly suited for scarce sample populations, when it increases with one order of magnitude the extracted information. Hidden features would remain inaccessible otherwise. The method could prove useful also for signal processing, when a high level of accuracy in details rendition is required. The efficiency of the method is demonstrated by the experimental measurement of the combustion heat of rocket propellants. Populations as small as of six elements are thus successfully processed and statistically characterised, while the regular statistics could only be applied to much larger populations.

Published in:

Industrial Informatics, 2008. INDIN 2008. 6th IEEE International Conference on

Date of Conference:

13-16 July 2008