乘法函数
随机变量
标准差
光谱(功能分析)
数学
谱线
集合(抽象数据类型)
依赖关系(UML)
物理
统计
统计物理学
数学分析
计算机科学
随机变量
量子力学
人工智能
程序设计语言
作者
M. S. Dhanoa,S.J. Lister,Ruth Sanderson,Richard Barnes
摘要
We demonstrate that set-dependent multiplicative scatter correction and set-independent standard normal variate transformations of NIR spectra are linearly related as theoretically expected. It is shown that the mean and standard deviation of the set-mean-spectrum together with the correlation coefficient between each individual spectrum and set-mean-spectrum are required to link these two transformations. It is through these three quantities, that set-dependency is incorporated into spectra derived by application of multiplicative scatter correction. MSC and SNV are two alternative approaches to reduce particle size effects and they are interconvertible.
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