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。
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.
出处
《武汉测绘科技大学学报》
CSCD
1994年第2期163-168,共6页
Geomatics and Information Science of Wuhan University
关键词
奇异平差模型
粗差检验
可靠性理论
singular adjustment model
gross error detection
reliability theory