Dear All,
I have small samples of data (between 6 and 15) for
numerious time series points. I am assuming the data
for each time point is normally distributed. The
problem is that the data arrvies sporadically and I
would like to detect the number of outliers after I
have six data points for any
Dear Dave,
I do not know the grubbs.test (is it a function, where can I find it?)
and probably n=6 data points are really few..
Having said that, what do you mean as outlier?
If you mean deviation from the estimated mean (of previous data), you
might have a look to the strucchange
Justice.
http://www.michaelariens.com/ConLaw/justices/stewart.htm
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of vito muggeo
Sent: Thursday, April 14, 2005 7:05 AM
To: Dave Evens
Cc: r-help@stat.math.ethz.ch
Subject: Re: [R] grubbs.test
Dear
Dnia 2005-04-14 15:34, Uytkownik Dave Evens napisa:
Is it valid to use the grubbs.test in this way?
I'm very happy that someone is interested in my new package, but I must
worry you, that Grubbs test is probably not proper in such case. Your
data are dependent (time series) and possibly
