An Approach for Determining Confidence Intervals for Common Spray Statistics

Author

Robert M. Wagner
J. A. Drallmeier, Missouri University of Science and TechnologyFollow

Abstract

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.

Recommended Citation

R. M. Wagner and J. A. Drallmeier, "An Approach for Determining Confidence Intervals for Common Spray Statistics," Atomizations and Sprays, Begell House, Mar 2001.

Department(s)

Mechanical and Aerospace Engineering

Keywords and Phrases

Population Statistics; Spraying; Statistical Methods; Statistics

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2001 Begell House, All rights reserved.

Publication Date

01 Mar 2001