実験計画のためのエアロゾル計数に関する統計的考察 A Statistical Study on the Design of Particle Count Measurements
Optimum sample sizes for designing particle count measurements were investigated. NaCl monodisperse aerosols were counted using a condensation nucleus counter (CNC). Statistical analysis of the data from the particle count with CNC agreed with the Poisson distribution. Furthermore, a χ<SUP>2</SUP>-test showed that a normal (Gaussian) distribution could be applied to the data when the mean of the particle count (<I>m</I>) is greater than 10. This result indicated that statistical analysis for the data could be simplified by using the normal distribution. In samples with <I>m</I> > 10<SUP>4</SUP>, the experimental error affected the fluctuation of the data with exceeding the statistical error. Optimum sample size was influenced by <I>m</I> as well as the fluctuation level of the data. These results suggested that the optimum experimental design consisted of 200 data with a mean in the range 10 ≤ <I>m</I> ≤ 10<SUP>3</SUP>.
- エアロゾル研究 = Journal of aerosol research
エアロゾル研究 = Journal of aerosol research 14(1), 55-62, 1999-03-20