主成份检验和粗差定位

Principal Component Test and Location of Gross Error

  • 摘要: 目前国内外文献中对于粗差的检验,多数是采用改正数V,主成分检验法是将V改算成为主成分W,然而对W进行统计检验。本文讨论如何应用数理统计中的主成分检验法探测粗差。此外还讨论了粗差的初步定位和最后定位的方法,提出了预测偏盖最大准则和极小极大主分量准则。

     

    Abstract: In this paper,based on the principal component analysis method,correlated correction V is transformed into indenpendent variable W through the orthogonal trasformation w=UTV,and the statistic S=∧-1/2 is used to conduct the population homogeneity test for adjustment model.The minimization of first norm Σ|V|=min is adapted to locate gross error elementarily,and two criterions,the maximum error of prediction criterions and min-max statistic S criterion,are proposed for location of gross error.Finally,an example is offered to illustrate the use of the given method in the location of gross error.

     

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