An Approach for Determining Confidence Intervals for Common Spray Statistics
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.
R. M. Wagner and J. A. Drallmeier, "An Approach for Determining Confidence Intervals for Common Spray Statistics," Atomizations and Sprays, Begell House, Mar 2001.
Mechanical and Aerospace Engineering
Keywords and Phrases
Population Statistics; Spraying; Statistical Methods; Statistics
Article - Conference proceedings
© 2001 Begell House, All rights reserved.
01 Mar 2001