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在概括平差模型下的粗差检验理论 被引量:4

THE THEORY OF DETECTING GROSS ERRORS UNDER THESUMMARIZED ADJUSTMENT FUNCTIONAL MODEL
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摘要 迄今为止,在国内外文献中,都是以验后信息V和Q_v为依据建立起粗差检验的统计量,因此只有在算出改正数向量及其协因数阵之后才能进行粗差检验。本文是从概括平差模型的通用公式出发,导出了以条件方程式的常数项f为依据的检验统计量,这样,只要平差的条件式一经列出即可进行粗差检验,而且该统计量可以应用于各种不同的平差方法。 : Up to now the statistics for detecting gross etrors were constructed with the posteriori informations V and Qv so the test of the gross errors could be only perfor-ined after the correction vector and its cofactor matrix had been calculated In this paper based on the general formulas of the summarized adjustment functional model the statistics for detecting gross errors constructed with the coefficient matrices and constant terms of the condition equations are derived Thus the detection of the gross errors can be performed as soon as the condition equations are formulated In addition the statistics given in this paper can be used for all classical adjustment functional models
作者 于宗俦
出处 《测绘学报》 EI CSCD 北大核心 1992年第4期241-248,共8页 Acta Geodaetica et Cartographica Sinica
基金 国家自然科学基金
关键词 平差 粗差 检验 概括平差模型 :Detection of gross errors The summarized functional model
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参考文献2

  • 1於宗俦,测量平差原理,1990年
  • 2李德仁,误差处理和可靠性理论,1988年

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