四分位法在地磁日变化观测数据分析中的应用

摘要

The quartile method can be used to describe the data with any distribution, including skewed distribution, unknown distribution and so on and it can effectively reduce the influence from the large data. Compared to the mean and the standard deviation, the median and the IQR are more stable parameter in the process of data analyzing. As the geomagnetic data was so complex and uncertain, we tried to apply the method to geomagnetic data analyzing.After carefully analyzing, some information can be extracted from the geomagnetic observation data, for example the instrument recording errors, the disturbances form geomagnetic field, the manmade disturbances and so on. There are also some abnormalities possible relate with earthquake or other unknown factor. Therefore, the applicability of the method in data processing and supervising is effective.%四分位法可用于描述包括偏态分布、分布不明和分布末端无确定值等任何分布资料的特征,并且可以去除数据中大数的影响,较均值、标准差等更为稳定.针对地磁日变化数据的复杂性,不同时段数据分布特征的差异性和不确定性,在此引进四分位法加以分析.通过分析,提取地磁日变化中来自地磁场扰动、仪器记录错误、人为干扰以及可能与地震的孕育有关因素的相对异常,这对地磁数据质量的监控及其他影响因素的研究提供了一种新的方法.