作者: J. Edward Jackson , Govind S. Mudholkar
DOI: 10.1080/00401706.1979.10489779
关键词:
摘要: This paper is concerned with the treatment of residuals associated principal component analysis. These are difference between original observations and predictions them using less than a full set components. Specifically, procedures proposed for testing single observation vector an overall test group observations. In this development, it assumed that underlying covariance matrix known; reasonable many quality control applications where may be quite useful in detecting outliers data. A numerical example included.