Statistics How To

Generalized ESD Test

Outliers >

The generalized ESD test, or generalized extreme studentized deviate test, is a statistical test for outliers. It is used on univariate data which follows an approximately normal distribution, and can be used to detect one or more outliers.

It is especially useful in situations where the number of outliers is not known: in other outlier tests, like the Grubbs test and the Tietjen Moore test, the number of outliers to be found must be specified beforehand. For the ESD test, you just specify an upper bound for the number of outliers.

------------------------------------------------------------------------------

Need help with a homework or test question? With Chegg Study, you can get step-by-step solutions to your questions from an expert in the field. If you'd rather get 1:1 study help, Chegg Tutors offers 30 minutes of free tutoring to new users, so you can try them out before committing to a subscription.

If you prefer an online interactive environment to learn R and statistics, this free R Tutorial by Datacamp is a great way to get started. If you're are somewhat comfortable with R and are interested in going deeper into Statistics, try this Statistics with R track.

Comments? Need to post a correction? Please post a comment on our Facebook page.

Check out our updated Privacy policy and Cookie Policy

Generalized ESD Test was last modified: September 11th, 2018 by Stephanie