摘要
考察了含多种酚类的有机混合体系的同时测定,发现对于这类化学与光谱性质皆十分相近的混合物体系,最小二乘法和卡尔曼滤波方法都不能给出令人满意的结果,甚至出现负值,而用岭回归估计大法对此类病态体系进行分析,所得结果明显优于最小二乘法与卡尔曼滤波方法。
The multicomponent spectrophotometric determination of the organic mixture system containing phenolic compounds was investigated. For these ill-conditioned systems with very similar spectral characteristics, both ordinary least squares regression and Kalman Filtering methods are not able to give satisfactory results. We used the ridge regression method newly developed in statistical literature to treat these ill-conditioned systems. The results obtained are evidently superior to those obtained by ordinary least squares or Kalman methods.
出处
《高等学校化学学报》
SCIE
EI
CAS
CSCD
北大核心
1989年第7期704-708,共5页
Chemical Journal of Chinese Universities
基金
国家自然科学基金
关键词
多组分光度测定
岭回归
病态分析体系
化学计量学
有偏估计
Ridge regression, Ill-conditioned analytical system, Chemometrics, Biased estimation, Multicomponent spectrophotometric Determination
