Helmert方差分量估计在测量平差中的算法研究 |
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引用本文: | 王位文,李建康. Helmert方差分量估计在测量平差中的算法研究[J]. 价值工程, 2014, 0(26): 217-218 |
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作者姓名: | 王位文 李建康 |
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作者单位: | 成都师范学院;中铁二院工程集团有限责任公司 |
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摘 要: | Helmert(赫尔墨特)方差分量估计作为近代平差随机模型的验后估计,可以准确给出各类观测量之间的权比,提高平差结果的可靠性。文章就该模型在不同观测类型平差数据中的算法进行了探讨,在实际应用中具有重要的参考价值。
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关 键 词: | 方差分量估计 平差数据 观测量 |
On the Algorithm of Helmert Variance Component Estimation in Measuring the Adjustment |
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Affiliation: | WANG Wei-wen, LI Jian-kang ( 1Chengdu Normal University, Chengdu 610031, China;2China Railway Eryuan Engineering Group Co., Ltd., Chengdu 610031, China) |
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Abstract: | As the posteriori estimation of the modern adjustment random model, Helmert variance component estimation can provide the proportion of various observations accurately and improve the reliability of the adjustment results. This article discusses its algorithms of adjustment data in different observation types, which has important reference value in practical applications. |
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Keywords: | variance component estimation adjustment data observations |
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