Mail Archive Search: <+subject:/^(?:^\s*(re|sv|fwd|fw)[\[\]\d]*[:>-]+\s*)*Stepwise\s+regression\s*$/>

Results:

References: [ +subject:/^(?:^\s*(re|sv|fwd|fw)[\[\]\d]*[:>-]+\s*)*Stepwise\s+regression\s*$/: 9 ]

Total 9 documents matching your query.

1. Stepwise regression (score: 1): Author: "Bert Jacobs" <b.jacobs@pandora.be>; Date: Fri, 16 Sep 2005 20:41:39 +0200; Using S-Plus 6.2 for Windows XP<o:p></o:p> <o:p> </o:p> I'm trying to fit a simple linear regression model:<o:p></o:p> <o:p> </o:p> The issue is the following:<o:p></o:p> I have a dataframe with seve; /archives/html/s-news/2005-09/msg00052.html (11,280 bytes)
2. stepwise regression (score: 1): Author: Nicola.Beghetto@bancaimi.it; Date: Tue, 12 Aug 2003 15:07:47 +0200; Dear all, I'm running a linear stepwise-backward regression; an example is the following: menuStep(formula = vol0~vol1+vol2+prin0+prin1+prin2, formula.lower = NULL, data = vol.prr, na.omit.p = T, dir; /archives/html/s-news/2003-08/msg00066.html (7,713 bytes)
3. Re: stepwise regression (score: 1): Author: Spencer Graves <spencer.graves@PDF.COM>; Date: Tue, 12 Aug 2003 09:45:32 -0700; stepAIC in library(MASS) will do many things. I don't know if it will do specifically what you want. Spencer Graves menuStep(formula = vol0~vol1+vol2+prin0+prin1+prin2, formula.lower = NULL, data = v; /archives/html/s-news/2003-08/msg00067.html (8,919 bytes)
4. Stepwise regression (score: 1): Author: Andrew Robinson <andrewr@uidaho.edu>; Date: Mon, 11 Mar 2002 14:54:26 -0800; Hello Splus gurus, I'm using Splus 6 Release 2, Windows 2000, 512 Mb RAM. I'm trying to fit a stepwise regression to a dataset with 172 observations and 77 predictor variables, comprising 11 main eff; /archives/html/s-news/2002-03/msg00075.html (9,439 bytes)
5. Re: Stepwise regression (score: 1): Author: Frank E Harrell Jr <fharrell@virginia.edu>; Date: Mon, 11 Mar 2002 23:03:06 -0500; There are two problems which are likely to make the analysis statistically invalid anyway. First, the sample size is too small by a factor of 10 or more to be able to examine 77 parameters. Second, y; /archives/html/s-news/2002-03/msg00079.html (10,529 bytes)
6. Re: Stepwise regression (score: 1): Author: "Kyle Roberts" <kroberts@unt.edu>; Date: Tue, 12 Mar 2002 09:08:43 -0600; This querry brings up an interesting question for me - due to the problems with stepwise regression, I have always used all possible subsets analysis in SAS. Is there a similar function in SPLUS? Kyl; /archives/html/s-news/2002-03/msg00082.html (10,835 bytes)
7. Re: Stepwise regression (score: 1): Author: Frank E Harrell Jr <fharrell@virginia.edu>; Date: Tue, 12 Mar 2002 13:13:44 -0500; All possible subsets regression in no way fixes these severe problems. Things can even get worse - see @ARTICLE{roe91pre, author = {Roecker, Ellen B.}, year = 1991, title = {Prediction error and its; /archives/html/s-news/2002-03/msg00090.html (12,451 bytes)
8. stepwise regression (score: 1): Author: Jeff Simonoff <jsimonof@stern.nyu.edu>; Date: Sat, 18 Nov 2000 17:04:30 -0500 (EST); Dear Splusers, The recent message about stepwise regression, and Frank Harrell's reply to it, prompted an exchange of e-mails between Frank and me on stepwise regression in particular, and automatic; /archives/html/s-news/2000-11/msg00184.html (11,402 bytes)
9. Re: stepwise regression (score: 1): Author: Doug Moog <dbm3@po.cwru.edu>; Date: Mon, 20 Nov 2000 11:06:47 -0500; Thanks, I very much appreciated that discussion. My question is "what is data mining anyway?" That is, I know in general what it is, but not how to do it. A collection of automatic techniques provide; /archives/html/s-news/2000-11/msg00187.html (6,747 bytes)

Current List: 1 - 9
Page: [1]