ESD? [Outliers]

posted by ElMaestro  – Belgium?, 2019-02-06 18:12 (597 d 15:00 ago) – Posting: # 19885
Views: 4,087

Hi Mittyri,

» 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...

Best regards,

R's base package has 274 reserved words and operators, along with 1761 functions. I can use 18 of them (about 14 of them properly). I believe this makes me the Donald Trump of programming.

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