From 5ce8d6d7bcb2c23c1312d26778e0bb423186efdb Mon Sep 17 00:00:00 2001 From: Haojun Liao Date: Mon, 18 Nov 2024 09:18:37 +0800 Subject: [PATCH] Update 02-statistics-approach.md --- .../06-TDgpt/05-anomaly-detection/02-statistics-approach.md | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/docs/zh/06-advanced/06-TDgpt/05-anomaly-detection/02-statistics-approach.md b/docs/zh/06-advanced/06-TDgpt/05-anomaly-detection/02-statistics-approach.md index 4f23c3f4e0..10d296d2dd 100644 --- a/docs/zh/06-advanced/06-TDgpt/05-anomaly-detection/02-statistics-approach.md +++ b/docs/zh/06-advanced/06-TDgpt/05-anomaly-detection/02-statistics-approach.md @@ -1,10 +1,8 @@ --- -title: "检测算法" -sidebar_label: "检测算法" +title: "统计学方法" +sidebar_label: "统计学方法" --- -### 统计学异常检测方法 - - k-sigma[1]: 即 ***68–95–99.7 rule*** 。***k***值默认为 3，即序列均值的 3 倍标准差范围为边界，超过边界的是异常值。KSigma 要求数据整体上服从正态分布，如果一个点偏离均值 K 倍标准差，则该点被视为异常点. |参数|说明|是否必选|默认值|