508096 A Demonstration of Bootstrap Method for Particle Diameter Distribution Analysis

Tatsushi Matsuyama, Department of Science and Engineering for Sustainable Innovation, Faculty of Science and Engineering, Soka University, Hachioji, Tokyo, Japan

Bootstrap method, which is a method of statistics used widely recently, has a very strong feature like non-parametric, simplicity so on. Therefore, it is suitable to apply to the analysis of particle diameter (size) distribution. For a number based sample, of particle diameter, this method can estimate the statistic uncertainty or confidence interval for any of statistical quantities of interest from the distribution, with very simple protocol and without any parametric assumptions. This paper gives a demonstration to introduce the method to the society of particle diameter (size) analysis.

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