主因子模型的局部影响分析及其在地质中的应用

Assessing local influence in principal factor analysis and its application in geoscience

摘要: 应用局部影响分析方法,讨论了主因子模型中影响点的识别方法.给出了因子负荷矩阵,共同因子得分的系数矩阵等主因子模型中参数的诊断统计量,并将这一方法应用于地质数据中,以识别特殊地质数据及结构.

Abstract: Influential observations in principal factor analysis(PFA) are studied by using local influence analysis.Diagnostics for some parameters such as factor loading matrix,coefficient matrix of common factor score vector obtained by least square method are derived.With application to geological data,this method is illustrated.