期间的条 目数 +1) 示例： => trend- stl(/host/key,100h:now/h,10h,2h) → 分析过 去 100 小 时的趋势 数据， 找出该周 期前 10 小 时的异常 率， 预计周期 为 2h， 如果评估 期的剩余 序列值达 到该剩余 序列的 MAD 的 3 个偏差值 => trend- stl(/host/key,100h:now/h- 10h,100h 前开始计 数， 找到整个 周期的异 常率， 预计周期 为 2h， 如果评估 期的剩余 序列值达 到该剩余 序列的 MAD 的 2,1 偏差 值，则将 其视为异 常值 => trend- stl(/host/key,100d:now/d- 1d,10d,1d,4„10) → 分析从 前一天开 始的前 100 天趋 势数据， 求该周期 最后 10 天 周期的异 常率， 期望周期 为 1 MAD 的 4 个偏 差值， 则覆盖 loess 窗口 的默认跨 度，用于 季节性提 取 “10*eval period 中 的条目数 +1”，跨度 为 10 滞后 => trend- stl(/host/key,1M:now/M- 1y,1d,2h„”stddevsamp”) → 一年前 上个月的 最小值 分析从一 年前开始 的上个月 趋势数据， 求预计周 期为 2 小 时的该周 期的最后

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