Automating spike detection (dummy variable) in multiple time series using departures from (rolling) mean
Summary Automated spike detection in multiple time series using departures from rolling mean failed due to incorrect standard deviation scaling and lack of trend normalization. Root Cause Incorrect standard deviation scaling: Multiplication by a fixed factor without considering the rolling window size led to false positives. Lack of trend normalization: Rolling mean alone did not … Read more