Title

An Approach for Determining Confidence Intervals for Common Spray Statistics

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.

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.

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