R help - Apr 2011 - Quantile Regression and R

Sir or Madam:

I am new to R and the use of quantile regeression.  In addition, I am a
finance person not a true statistcian.  Basic regression form is Y (Coefficient
* Variable) + Error Term

I have results from a quantile regression where I used the Barro and
Roberts method with bootstrapping for standard errors.  

I am now taking another set of data and applying the quantile regression
equation to determine accuracy.  I am doing this in Excel so I can share
with my business customer.  I think I need to add the error term to my
prediction but I cannot seem to find it in the summary output of the
quantile regression nor does my Google search reveal how it is
calculated if there is one.

Any help would be appreciated.  Thanks.

Regards,
Peter D. Sheldrick
Hartford Financial Services Group

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Dear Peter,

Quantile regression is a nice tool but one that requires some statistical
training in order to use it and interpret the results properly.  I suggest
backing up a bit.

Frank


Sheldrick,
	Peter (Specialty Casualty UW Support) wrote:
> 
> Sir or Madam:
> 
> I am new to R and the use of quantile regeression.  In addition, I am a
> finance person not a true statistcian.  Basic regression form is Y >
(Coefficient * Variable) + Error Term
> 
> I have results from a quantile regression where I used the Barro and
> Roberts method with bootstrapping for standard errors.  
> 
> I am now taking another set of data and applying the quantile regression
> equation to determine accuracy.  I am doing this in Excel so I can share
> with my business customer.  I think I need to add the error term to my
> prediction but I cannot seem to find it in the summary output of the
> quantile regression nor does my Google search reveal how it is
> calculated if there is one.
> 
> Any help would be appreciated.  Thanks.
> 
> Regards,
> Peter D. Sheldrick
> Hartford Financial Services Group
> 
> ************************************************************
> This communication, including attachments, is for the exclusive use of
> addressee and may contain proprietary, confidential and/or privileged
> information.  If you are not the intended recipient, any use, copying,
> disclosure, dissemination or distribution is strictly prohibited.  If you
> are not the intended recipient, please notify the sender immediately by
> return e-mail, delete this communication and destroy all copies.
> ************************************************************
> 
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
> 

-----
Frank Harrell
Department of Biostatistics, Vanderbilt University
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Pls disregard...I have it figured out.  Thank you.

Regards,
Peter D. Sheldrick
Hartford Financial Services Group


> _____________________________________________ 
> From: 	Sheldrick, Peter (Specialty Casualty  UW Support)  
> Sent:	Friday, April 08, 2011 9:53 AM
> To:	'r-help@R-project.org'
> Subject:	Quantile Regression and R
> 
> Sir or Madam:
> 
> I am new to R and the use of quantile regeression.  In addition, I am
> a finance person not a true statistcian.  Basic regression form is Y >
(Coefficient * Variable) + Error Term
> 
> I have results from a quantile regression where I used the Barro and
> Roberts method with bootstrapping for standard errors.  
> 
> I am now taking another set of data and applying the quantile
> regression equation to determine accuracy.  I am doing this in Excel
> so I can share with my business customer.  I think I need to add the
> error term to my prediction but I cannot seem to find it in the
> summary output of the quantile regression nor does my Google search
> reveal how it is calculated if there is one.
> 
> Any help would be appreciated.  Thanks.
> 
> Regards,
> Peter D. Sheldrick
> Hartford Financial Services Group
> 
************************************************************
This communication, including attachments, is for the exclusive use of addressee
and may contain proprietary, confidential and/or privileged information.  If you
are not the intended recipient, any use, copying, disclosure, dissemination or
distribution is strictly prohibited.  If you are not the intended recipient,
please notify the sender immediately by return e-mail, delete this communication
and destroy all copies.
************************************************************

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