文章基本信息

标题：OUTLIER DETECTION AND RELIABILITY OF ADJUSTMENT MODELS WITH SINGULAR COVARIANCE MATRICES
本地全文：下载
作者：WANG Jinling ; CHENG Yongqi ; TAO Benzao 等
期刊名称：Geo-spatial Information Science
印刷版ISSN：1009-5020
电子版ISSN：1993-5153
出版年度：1998
卷号：1
期号：1
页码：55-59
DOI：10.1080/10095020.1998.10553285
出版社：Taylor and Francis Ltd
摘要：Up to now, outlier detection and reliability theory are generally based on the regular Gauss-Markov models, in which the covariance matrix of observations is positively definite. For the adjustment models with singular covariance matrix, the statistics for outlier detection are derived by the authors. The corresponding reliability theory is developed. And the application of the theory is demonstrated with a practical example.
关键词：singular adjustment models; outliers; reliability theory