© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
K. FeaselFinding Ghosts in Your Datahttps://doi.org/10.1007/978-1-4842-8870-2_16

16. Standard Deviation of Differences (DIFFSTD)

Kevin Feasel1  
(1)
DURHAM, NC, USA
 

In the prior chapter, we learned about several pairwise techniques we can use to perform multi-series time series analysis. In this chapter, we will introduce one more such technique and will use it as the first method in a multi-series time series ensemble.

What Is DIFFSTD?

Standard Deviation of Differences (DIFFSTD) is a pairwise time series comparison technique, meaning that we can use it to compare behavior between two series and gain an understanding of how data movements in those two series ...

Get Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.