1)  abnormal value
异常测值
1.
Among a dam safety monitoring data, there might be some abnormal values which have important influence to the appraisal for the structural condition and the safety monitor of the dam, so the work is needed to be done to identify and deal with them.
大坝安全监测资料中可能存在有一些异常测值,这些异常测值对大坝结构性态评价和大坝安全监控会产生较大影响,必须进行判断和处理。
2)  anomaly
异常
1.
Analyses on anomaly of radon and its daughters above sandstone type uranium deposit;
砂岩型铀矿床上氡及其子体异常分析
2.
The non-linear study of geochemical anomaly identification in the complicated geological geomorphic region;
复杂地质地貌区地球化学异常识别非线性研究
3.
The Analysis of Reduct Anomaly on Variable Precision Rough Set Model;
可变精度粗集模型约简异常分析
3)  abnormal
异常
1.
Discussion on gas logging abnormal show zone with the special hydrocarbon components in P 2 Well;
P2井特殊烃组分气测异常显示层探讨
2.
The analysis and treatment of PET vaccum system abnormal running;
聚酯真空系统异常分析及处理
3.
Analysis on abnormal phenomena in drilling process;
钻井过程中工程异常的分析与判断
4)  abnormity
异常
1.
Dealing with shrinkage allowance abnormity of №.1 turbine HP rotor in Dayabay Nuclear Power Station;
大亚湾核电站1号机高压转子收缩窜量异常问题的处理
2.
Discussion on the abnormity displacement and disturbance factors of the low points of geomagnetic component in Jiayuguan;
嘉峪关地磁低点位移异常与干扰因素的讨论
3.
Division of water-containing abnormity using multi-parameter method of direct current induced polarization sounding;
直流激电测深多参数综合分析划分含水异常岩体
5)  Abnormality
异常
1.
Analysis and Treatment of Exciter Regulator Abnormality in Qiaotou Secondary Thermal Power Plant;
桥电二厂励磁调节器异常情况的分析与处理
2.
Abnormality of Reproductive Organ on a Distant Hybridization between Families of Cotton×Cowpea in F_1;
棉花、豇豆科间杂交F_1生殖器官的异常表现
3.
Discussion of abnormality in C++/VC++Language And Handling;
C++/VC++语言的异常及其处理方法
6)  exception
异常
1.
Analysis and Implementation of Exception Processing Module of Embedded Software in Communication Field;
通信领域中嵌入式软件异常处理模块分析与实现
2.
Discussion on exception handling of Java;
Java语言异常处理的探讨
参考词条
补充资料:异常值
分子式:
CAS号:

性质:一组测定值中与平均值的偏差超过两倍标准差的测定值。与平均值的偏差超过三倍标准差的测定值,称为高度异常的异常值。在处理数据时,应剔除高度异常的异常值。异常值是否剔除,视具体情况而定。在统计检验时,指定为检出异常值的显著性水平α=0.05,称为检出水平;指定为检出高度异常的异常值的显著性水平α=0.01,称为舍弃水平,又称剔除水平(reject level)。

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