Current Slide
Small screen detected. You are viewing the mobile version of SlideWiki. If you wish to edit slides you will need to use a larger device.
Parametric Methods I: The Grubb’s Test
- Univariate outlier detection: The Grubb's test (maximum normed residual test) ─ another statistical method under normal distribution
- For each object x in a data set, compute its z-score: x is an outlier if
where
\[ t^{2}_{\alpha/(2N),N-2 } \]
is the value taken by a t-distribution at a significance level of α/(2N), and N is the # of objects in the data set - For each object x in a data set, compute its z-score: x is an outlier if
Speaker notes:
Content Tools
Tools
Sources (0)
Tags (0)
Comments (0)
History
Usage
Questions (0)
Playlists (0)
Quality
Sources
There are currently no sources for this slide.