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  • 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
  • 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
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