ok, thank you, I guess everything has ended according to my assumptions.
sincerely thank you for your time!
Roman
On Tue, Apr 30, 2013 at 10:55 AM, Maarten Buis <maartenlbuis@gmail.com> wrote:
> On Tue, Apr 30, 2013 at 10:25 AM, Kasal Roman wrote:
>> "qreg" is appropriate even for symmetrical distribution (but a real
>> data are not always perfect...almost never :) ) where it shows it's
>> more robust.
>
> You first need to define what you mean with robust before we can
> answer that quesiton. This may sound silly, but within statistics the
> term robust has many different meanings. The term "robust" is togehter
> with "fixed effects" probably the most unfortunate example within
> statistics where the same word is used for many different things,
> leading to hopeless cases of miscommunication.
>
> Having said that, Yuval has given you the same reference twice now, so
> it would not be difficult to guess what his answer will be third time
> around...
>
> -- Maarten
>
> ---------------------------------
> Maarten L. Buis
> WZB
> Reichpietschufer 50
> 10785 Berlin
> Germany
>
> http://www.maartenbuis.nl
> ---------------------------------
> *
> * For searches and help try:
> * http://www.stata.com/help.cgi?search
> * http://www.stata.com/support/faqs/resources/statalist-faq/
> * http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/faqs/resources/statalist-faq/
* http://www.ats.ucla.edu/stat/stata/
