From 0ddf5391d54e479ec003cb22a29fddb9682f5e54 Mon Sep 17 00:00:00 2001
From: Haojun Liao <hjxilinx@users.noreply.github.com>
Date: Mon, 18 Nov 2024 09:26:03 +0800
Subject: [PATCH] Update 02-statistics-approach.md

---
 .../06-TDgpt/05-anomaly-detection/02-statistics-approach.md   | 4 ++--
 1 file changed, 2 insertions(+), 2 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 10d296d2dd..463f2a398d 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
@@ -1,6 +1,6 @@
 ---
-title: "统计学方法"
-sidebar_label: "统计学方法"
+title: "统计学算法"
+sidebar_label: "统计学算法"
 ---
 
 - k-sigma<sup>[1]</sup>: 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.