The Unit Histogram Concept for Scarce Statistical Information
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 extra...
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| Format: | Article |
| Language: | English |
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Stefan cel Mare University of Suceava
2009-10-01
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| Series: | Advances in Electrical and Computer Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.4316/AECE.2009.03013 |
| _version_ | 1818973123197796352 |
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| author | RUGESCU, R. D. |
| author_facet | RUGESCU, R. D. |
| author_sort | RUGESCU, R. D. |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T15:19:09Z |
| format | Article |
| id | doaj.art-fbd395fc07d94722bcffdce2bb268b98 |
| institution | Directory Open Access Journal |
| issn | 1582-7445 1844-7600 |
| language | English |
| last_indexed | 2024-12-20T15:19:09Z |
| publishDate | 2009-10-01 |
| publisher | Stefan cel Mare University of Suceava |
| record_format | Article |
| series | Advances in Electrical and Computer Engineering |
| spelling | doaj.art-fbd395fc07d94722bcffdce2bb268b982022-12-21T19:36:07ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002009-10-01936874The Unit Histogram Concept for Scarce Statistical InformationRUGESCU, R. D.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.http://dx.doi.org/10.4316/AECE.2009.03013unit histogramscarce population statisticssqueezed informationunit filter |
| spellingShingle | RUGESCU, R. D. The Unit Histogram Concept for Scarce Statistical Information Advances in Electrical and Computer Engineering unit histogram scarce population statistics squeezed information unit filter |
| title | The Unit Histogram Concept for Scarce Statistical Information |
| title_full | The Unit Histogram Concept for Scarce Statistical Information |
| title_fullStr | The Unit Histogram Concept for Scarce Statistical Information |
| title_full_unstemmed | The Unit Histogram Concept for Scarce Statistical Information |
| title_short | The Unit Histogram Concept for Scarce Statistical Information |
| title_sort | unit histogram concept for scarce statistical information |
| topic | unit histogram scarce population statistics squeezed information unit filter |
| url | http://dx.doi.org/10.4316/AECE.2009.03013 |
| work_keys_str_mv | AT rugescurd theunithistogramconceptforscarcestatisticalinformation AT rugescurd unithistogramconceptforscarcestatisticalinformation |