» do you mean ESD?
I mean more or less:
1. Fit the model on the dataset
2. Evaluate if there is an outlier (or more than one) by whatever criterion such as stud.res. >3
3a. If there is no outlier proceed to 4.
3b. If there is an outlier, remove it. This defines a new dataset. Cycle back to step 1. In the case of multiple aberrant values noted under step 2, focus only on the one whose magnitude is highest, eg. the highest absolute stud. res.
4. Do stats via the fitted model.
I don't know if this is ESD. It is an abbreviation I am not familiar with and I am on my way out, so not too much time to investigate the link. But let me guess:
Emily Saw Dennis? Every Skunk Dies? Eagles Soar Deliriously? Eat Sh!t and Die? Evelyn Sauntered Diagonally?
I could be wrong, but...
- Rules acc. to Health Canada Helmut 2019-02-05 15:04 [Outliers]
- Rules acc. to Health Canada ElMaestro 2019-02-05 15:30
- Rules acc. to Health Canada Ohlbe 2019-02-05 15:54
- Rules acc. to Health Canada Helmut 2019-02-05 17:52
- for either the test or reference product? mittyri 2019-02-05 15:58
- Discordant outliers Helmut 2019-02-05 17:42
- Rules acc. to Health Canada Shuanghe 2019-02-06 11:48
- Rules acc. to Health Canada zizou 2019-02-06 20:52
- Great post! Helmut 2019-02-07 10:37