Re: logistic regression

From: Bruce Weaver (bweaver_at_lakeheadu.ca)
Date: 01/21/05 

Date: Fri, 21 Jan 2005 07:09:31 -0500

raed shatnawi wrote:

> Hi all,
>
> what is the best book that explains multivariate statistics?

There are lots of books, and which is best is a matter of opinion.
Here's a website that will give you an overview of the topic:

   http://www.pfc.cfs.nrcan.gc.ca/profiles/wulder/mvstats/index_e.html

>
> can anyone explain to me the difference between least sqaure regression and
> logistic regression?

The short answer is that the outcome variable is interval (or ratio)
scale for linear least squares regression, and dichotomous for logistic
regression. The following sites provide more info.

   http://www2.chass.ncsu.edu/garson/pa765/statnote.htm
   http://teaching.sociology.ul.ie/SSS/lugano/
   http://www.statsoft.com/textbook/stathome.html 

-- 
Bruce Weaver
bweaver@lakeheadu.ca
www.angelfire.com/wv/bwhomedir

Relevant Pages

  • Re: Single-Factor-Cox-Regression
    ... allowed within Cox-Regression) ... Like the logistic regression, which it is sort-of an extension ... Cox regression models hazards and hazard ratios. ... Logistic regression is to require at least 20 more cases in the ...
    (sci.stat.math)
  • Re: Approximate solution to linear regression
    ... Construct an ensemble of regression models, ... these are binary variables. ... So my idea to use a logistic regression to classify 15% of the ...
    (sci.stat.consult)
  • Re: Adjusting
    ... some about unequal sample sizes. ... >> One way is to just do weighted regression, ... > iterations of the logistic regression fitting process. ...
    (sci.stat.math)
  • Re: Logistic regression or Poisson regression (log linear)
    ... I've been looking at some analyses with similarly sparse data. ... prior to logistic regression will probably lose a lot of information. ... > treatment more often than with the experimental treatment. ...
    (sci.stat.consult)
  • Re: Regression Inference and Data Splitting
    ... The statement is: " Regression ... is logistic regression, it has relevance to all regression-type models. ... Internal validation of predictive models: ... Several internal validation methods are available that aim to ...
    (sci.stat.math)