About this document
Outlier Detection in Statistical Analysis by jljimenez1969 is a document available to read on EtoBox.
This document reviews statistical methods for identifying outliers in data sets. It defines an outlier as an observation that is inconsistent with the other observations. Several outlier detection methods are described, including box plots, trimmed means, extreme studentized deviate tests, and Dixon-type tests. Regression analysis is also discussed as being sensitive to outliers. The key methods - box plots, trimmed means, extreme studentized deviate tests for larger data sets and Dixon tests for smaller se
- Author
- jljimenez1969
- Language
- EN