[RsR] hubers m-estimator in R / SPSS
Martin Maechler
m@ech|er @end|ng |rom @t@t@m@th@ethz@ch
Wed Feb 23 21:25:29 CET 2011
>>>>> "MH" == Manfred Hammerl <manfred.hammerl using edu.uni-graz.at>
>>>>> on Wed, 23 Feb 2011 17:14:51 +0100 writes:
MH> thanks. of course, that was my idea too, but i couldn't find out which
MH> scale estimator spss uses. no manual, book, paper or whatever contains
MH> information about that. i tried other programs (like R or the ACM-tool),
MH> which use MAD, SMAD or an iterated standard deviation, but i always get
MH> different results with spss...
so why on earth are you using SPSS at all?
...
actually it's hard to believe that they don't document what
their M-estimate does ...
but that would really belong to an SPSS help list rather than an
R one, right?
Martin
MH> manfred
MH> Am 22.02.2011 00:42, schrieb Matias Salibian-Barrera:
>> Hello Manfred,
>>
>> I'm not familiar with SPSS, but based on my experience, I'll go out on a
>> limb and say that the difference may be on the scale estimator that it's
>> used (either a preliminary estimator like the MAD) or a simultaneously
>> computer M-scale. Hopefully the SPSS manual will have some details.
>>
>> Matias
>>
>>
>> On 11-02-18 06:35 PM, Manfred Hammerl sat down at the computer and wrote:
>>> hello, i'm new to robust statistics but found out very quick that R
>>> (used huber, hubers and huberM) and SPSS (huber m-estimator) calculate
>>> different location estimates, given the same tuning constant k. since
>>> the differences a really not very small, i wanted to get some detailed
>>> information about this but i couldn't find out which algorithm SPSS uses
>>> to calculate hubers estimator so far...
>>>
>>> does anyone know something about SPSS's huber function?
>>>
>>> greetings,
>>>
>>> manfred
>>>
>>> _______________________________________________
>>> R-SIG-Robust using r-project.org mailing list
>>> https://stat.ethz.ch/mailman/listinfo/r-sig-robust
>>
MH> --
MH> MMag. Manfred Hammerl, BBakk.
MH> manfred.hammerl using edu.uni-graz.at
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