Detecting outliers/noise from sensor data

1. Which method is most preferred for outlier detection?
2. How do you detect if an observation is an outlier?

Which method is most preferred for outlier detection?

Leverage curve fit or regression

This fit can then be used to identify extreme deviate points—outliers!

How do you detect if an observation is an outlier?

Multiplying the interquartile range (IQR) by 1.5 will give us a way to determine whether a certain value is an outlier. If we subtract 1.5 x IQR from the first quartile, any data values that are less than this number are considered outliers.