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Update 02-anomaly-detection.md

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docs/zh/06-advanced/06-TDgpt/05-anomaly-detection/02-anomaly-detection.md
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@ -38,7 +38,7 @@ LOF<sup>[5]</sup>: 局部离群因子（LOF，又叫局部异常因子）算法
### 参考文献
1. https://en.wikipedia.org/wiki/68%E2%80%9395%E2%80%9399.7_rule
1. [https://en.wikipedia.org/wiki/68–95–99.7 rule](https://en.wikipedia.org/wiki/68%E2%80%9395%E2%80%9399.7_rule)
2. https://en.wikipedia.org/wiki/Interquartile_range
3. Adikaram, K. K. L. B.; Hussein, M. A.; Effenberger, M.; Becker, T. (2015-01-14). "Data Transformation Technique to Improve the Outlier Detection Power of Grubbs's Test for Data Expected to Follow Linear Relation". Journal of Applied Mathematics. 2015: 1–9. doi:10.1155/2015/708948.
4. Hochenbaum, O. S. Vallis, and A. Kejariwal. 2017. Automatic Anomaly Detection in the Cloud Via Statistical Learning. arXiv preprint arXiv:1704.07706 (2017).