Answers are grounded in this paper and cite their sources.
The problem of obtaining the best fit for experimentally determined droplet size distributions is critically examined. Previous analyses have been restricted to linear representations of droplet distribution information. By using a statistical distribution and least squares fitting for non‐linear systems, the least squares estimates for parameters are obtained. The upper limit function and Chi‐square distribution are found to give good approximations for drop size distribution. Very precise fits of experimental data from a number of authors are obtained, the normalized volume distribution being more precisely approximated than the normalized number distribution.
No takes yet. Share an insight, caveat, or question.
Lekic et al. (1976) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: