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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  3/2009 - 13

The Unit Histogram Concept for Scarce Statistical Information

RUGESCU, R. D. See more information about RUGESCU, R. D. on SCOPUS See more information about RUGESCU, R. D. on IEEExplore See more information about RUGESCU, R. D. on Web of Science
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Download PDF pdficon (480 KB) | Citation | Downloads: 713 | Views: 3,353

Author keywords
unit histogram, scarce population statistics, squeezed information, unit filter

References keywords
processing(6), histograms(6), time(4), statistics(4), signal(4), analysis(4)
No common words between the references section and the paper title.

About this article
Date of Publication: 2009-10-26
Volume 9, Issue 3, Year 2009, On page(s): 68 - 74
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2009.03013
Web of Science Accession Number: 000271872000013
SCOPUS ID: 77954753836

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The new unit histogram concept is described as increasing with one order of magnitude the amount of statistical information extracted from experimental data. The new statistical technology is particularly suited for very scarce population samples, when it dramatically increases the information extracted from the available data. Otherwise, existing features of the population would remain inaccessible. The method could prove useful also for signal processing, when a high level of accuracy in detail rendition is required. The efficiency of the method is demonstrated in examples of experimental measurement of the combustion heat delivered by rocket propellants. Populations as small as of six readings, where the regular statistics is useless, are successfully processed and characterized.

References | Cited By  «-- Click to see who has cited this paper

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References Weight

Web of Science® Citations for all references: 4,210 TCR
SCOPUS® Citations for all references: 5,178 TCR

Web of Science® Average Citations per reference: 105 ACR
SCOPUS® Average Citations per reference: 129 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2018-03-16 02:56 in 74 seconds.

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Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

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