奇异平差模型的粗差检验与可靠性理论

王金岭

王金岭. 奇异平差模型的粗差检验与可靠性理论[J]. 武汉大学学报 ( 信息科学版), 1994, 19(2): 163-168.
引用本文: 王金岭. 奇异平差模型的粗差检验与可靠性理论[J]. 武汉大学学报 ( 信息科学版), 1994, 19(2): 163-168.
Wang Jinling. Gross Error Detection and Reliability Theory of Singular Adjustment Models[J]. Geomatics and Information Science of Wuhan University, 1994, 19(2): 163-168.
Citation: Wang Jinling. Gross Error Detection and Reliability Theory of Singular Adjustment Models[J]. Geomatics and Information Science of Wuhan University, 1994, 19(2): 163-168.

奇异平差模型的粗差检验与可靠性理论

详细信息
    作者简介:

    王金岭,男,32岁,副教授,博士生,现从事测量数据处理、质量控制及其软件技术的研究。

  • 中图分类号: P207;0212.1;0213.2

Gross Error Detection and Reliability Theory of Singular Adjustment Models

  • 摘要: 本文推导了奇异平差模型参数估计的一般公式,构造了粗差检验的统计量,通过假设检验研究了相应的可靠性理论,并借助于一个实例阐述了这一理论的应用。
    Abstract: Up to now,gross error detection and reliability theory are generally baed on the Gauss-Markov models, in which the covariance mains of obeervations is positive definite.For the adjustment models with singular covariance matrix,the statistics of gross error detection are derived by the author.The corresponding reliability theory is developed from hypothesis test and the application of the theory is demonstrated with a practical example.
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出版历程
  • 收稿日期:  1993-09-18
  • 发布日期:  1994-02-04

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