RESEARCH ON GROSS ERROR DETECTION BASED ON BIO-POLE METHOD
Liu Taosheng 1,2) ; Huang Shengxiang 1) ; and Li Peihong 2)
1)School of Geodesy and Geomatics ,Wuhan University,Wuhan 430079;2)Faculty of Architectural and Mapping Engineering of Jiangxi University of Science and Technology, Ganzhou 341000
Abstract Gross errors make skewness influence on mathematical expectation of series, which will transfer to the residual sequence. The gross errors detection only with 3σ criterion may make a mistake of discarding the truth or accepting the wrong. The relationship between the poor of observations or error correction and gross errors was analyzed and the formulae to judge gross errors were deduced. The judgment condition matrix based on biopoor for detecting gross errors was constructed and the difference of small sample with large sample in detecting gross errors was compared.This method is verified effective through example analyses.
Key words ：
gross errors distribution
gross error detection
biopoor
3σ criterion
judgment matrix
Received: 01 January 1900
Corresponding Authors:
Liu Taosheng
Cite this article:
Liu Taosheng,Huang Shengxiang ,and Li Peihong . RESEARCH ON GROSS ERROR DETECTION BASED ON BIO-POLE METHOD[J]. , 2012, 32(1): 80-83.
Liu Taosheng,Huang Shengxiang ,and Li Peihong . RESEARCH ON GROSS ERROR DETECTION BASED ON BIO-POLE METHOD[J]. jgg, 2012, 32(1): 80-83.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2012/V32/I1/80
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