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Atomization and Sprays
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ISSN Druckformat: 1044-5110
ISSN Online: 1936-2684

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Atomization and Sprays

DOI: 10.1615/AtomizSpr.v11.i3.30
pages 255-268

AN APPROACH FOR DETERMINING CONFIDENCE INTERVALS FOR COMMON SPRAY STATISTICS

R. M. Wagner
Department of Mechanical and Aerospace Engineering and Engineering Mechanics, University of Missouri—Rolla, Rolla, Missouri, USA
James A. Drallmeier
Department of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, USA

ABSTRAKT

The statistical analysis of spray data is a possible application for a resampling statistical technique called bootstrap. Bootstrap is a numerical technique for making statistical inferences on data when assumptions about the population distribution are unrealistic and/or the spray statistics are very complex. Application of the technique for determining confidence intervals for Sauter mean diameter and 90% cumulative volume diameter is demonstrated with drop size data from two automotive fuel injectors.


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