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  • 标题:ELIMINATION OF DATA AFFECTED BY ERRORS AND CHECKING A RANDOM SAMPLE
  • 本地全文:下载
  • 作者:Ion LUNGU ; Ion LUNGU ; MERCIOIU
  • 期刊名称:Buletin ştiinţific: Universitatea din Piteşti. Seria Ştiinţe Economice
  • 印刷版ISSN:1583-1809
  • 电子版ISSN:2344-4908
  • 出版年度:2010
  • 卷号:9
  • 页码:99-102
  • 语种:English
  • 出版社:Publishing house of University of Pitesti, Romania
  • 摘要:This study presents the Chauvenet criterion to eliminate those data affected by anomalous errors and the Yong test to verify the aleatory feature of a sample of experimental values.These tests can be applied to any sample of experimental data obtained from measurements to identify,and eventually eliminate the influences due to the errors.This is absolutely necessary when the elimination of differences between the measured values and the real ones is wanted.
  • 关键词:anomalous errors;systematic errors;random erori;Young test;random character
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