ISO 9276-3:2008规定了根据统计背景将实验曲线调整为参考模型的方法。此外，还规定了调整后剩余偏差的评估。参考模型也可以作为维持产品质量的目标尺寸分布。 ISO 9276-3:2008规定了适用于以下参考模型的程序:a）正态分布（拉普拉斯-高斯）:通过沉淀、冷凝或天然产物（花粉）获得的粉末；b） 对数正态分布（Galton MacAlister）:通过研磨或粉碎获得的粉末；c） 盖茨·高丁-舒曼分布（双对数）:细粒子分布极值分析； d） Rosin-Rammler分布:粗颗粒分布极值分析；e） 任何其他模型或模型组合（如果使用非线性拟合方法）。 ISO 9276-3:2008可以实质性地支持与粒度分布分析相关的产品质量保证或工艺优化。

ISO 9276-3:2008 specifies methods for the adjustment of an experimental curve to a reference model with respect to a statistical background. Furthermore, the evaluation of the residual deviations, after the adjustment, is also specified. The reference model can also serve as a target size distribution for maintaining product quality. ISO 9276-3:2008 specifies procedures that are applicable to the following reference models: a) normal distribution (Laplace-Gauss): powders obtained by precipitation, condensation or natural products (pollens); b) log-normal distribution (Galton MacAlister): powders obtained by grinding or crushing; c) Gates-Gaudin-Schuhmann distribution (bilogarithmic): analysis of the extreme values of the fine particle distributions; d) Rosin-Rammler distribution: analysis of the extreme values of the coarse particle distributions; e) any other model or combination of models, if a non-linear fit method is used. ISO 9276-3:2008 can substantially support product quality assurance or process optimization related to particle size distribution analysis.