Outliers Detection on the Micro-Behavior of the Seismic Groundwater Time Series
碩士 === 立德管理學院 === 資源環境研究所 === 93 === This study proposed the detection model for outlier when processing timing data, pre-processed BAYTAP-G model and dynamic filter model to filter the known non-structural factors (such as tide, earth tide, atmospheric pressure, background interference and rainfall...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2005
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| Online Access: | http://ndltd.ncl.edu.tw/handle/23149104020131298891 |