Re: Student's t vs. z tests

2001-04-17 Thread Joe Ward

Eric --
Good comment!

Also, it is helpful to keep in mind that:

t^2 (df2) = F(1,df2)

-- Joe

Joe Ward
167 East Arrowhead Dr.
San Antonio, TX 78228-2402
Home phone: 210-433-6575
Home fax: 210-433-2828
Email: [EMAIL PROTECTED]
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Health Careers High School
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Phone: 210-617-5400
Fax: 210-617-5423


- Original Message -
From: "Eric Bohlman" <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Monday, April 16, 2001 3:43 PM
Subject: Re: Student's t vs. z tests


> Mark W. Humphries <[EMAIL PROTECTED]> wrote:
> > Hi,
>
> > I am attempting to self-study basic multivariate
statistics using Kachigan's
> > "Statistical Analysis" (which I find excellent btw).
>
> > Perhaps someone would be kind enough to clarify a point
for me:
>
> > If I understand correctly the t test, since it takes
into account degrees of
> > freedom, is applicable whatever the sample size might
be, and has no
> > drawbacks that I could find compared to the z test. Have
I misunderstood
> > something?
>
> You're running into a historical artifact: in pre-computer
days, using the
> normal distribution rather than the t distribution reduced
the size of the
> tables you had to work with.  Nowadays, a computer can
compute a t
> probability just as easily as a z probability, so unless
you're in the
> rare situation Karl mentioned, there's no reason not to
use a t test.
>
>
>
>

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Re: cite for using linear regression instead of logistic regression

2001-03-18 Thread Joe Ward



David --
 
Logistic Regression is more appealing to some 
folks since
it maps the Predicted values into the range 
0-1.
 
If you do a least-squares regression predicting a 
0-1 
dependent variable, the predicted values may not 
be
mapped into 0-1 (e.g. some predicted values may 
be < 0
and some may be > 1.
 
However, for "practical" decision-making such as 
"selection",
"classification" the results will be the 
same.
 
Since you brought up the 
question, I'm sure that the "logistic regression"
folks can enlighten us on 
the "practical" advantages of "logistic regression".
 
-- Joe
 
Joe 
Ward167 East Arrowhead Dr.San Antonio, TX 78228-2402Home phone: 
210-433-6575Home fax: 210-433-2828Email: [EMAIL PROTECTED]http://www.ijoa.org/joeward/wardindex.htmlHealth 
Careers High School4646 Hamilton WolfeSan Antonio, TX 78229Phone: 
210-617-5400Fax: 
210-617-5423
 
 
- Original Message - 
From: "David Duffy" <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Sunday, March 18, 2001 8:41 PM
Subject: Re: cite for using linear regression 
instead of logistic regression
> Scheltema, Karen <[EMAIL PROTECTED]> 
wrote:> > > I've read several times on this listserve comments 
from people that when> > p(y) is not extreme, a logistic regression 
model can be estimated by a> > linear regression model.> 
> Some references cited by Harvey (1982):  also BF&H> 
> Harvey WR (1982).  Least squares analysis of discrete data.  
J Anim Sci> 54: 1067-1071.> > Cochran WG (1940).  The 
analysis of variance when experimental errors follow> the Poisson or 
binomial laws.  Ann Math Statis 11: 335.> > Cochran WG 
(1943).  Analysis of variance for percentages based on> unequal 
numbers. JASA 38:287.> > Li JCR (1964).  Introduction to 
statistical inference I.  Ann Arbor: Edwards.> > -- > 
| David 
Duffy. 
,-_|\> | email: [EMAIL PROTECTED]  ph: INT+61+7+3362-0217 fax: -0101    
/ *> | Epidemiology Unit, The Queensland 
Institute of Medical Research \_,-._/> | 300 Herston Rd, Brisbane, 
Queensland 4029, 
Australia 
v > > > 
=> 
Instructions for joining and leaving this list and remarks about> the 
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Publisher Contacts

2001-02-28 Thread Joe Ward

Greetings--

I occasionally receive inquiries about the contacts for
various publishers.
Here is the latest information about Bedford/St.Martin's,
W.H.Freeman and Worth
Publishers -- David Moore books.

-- Joe

P.S. -- I have no monetary involvement with these
publishers.
****
Joe Ward
167 East Arrowhead Dr.
San Antonio, TX 78228-2402
Home phone: 210-433-6575
Home fax: 210-433-2828
Email: [EMAIL PROTECTED]
http://www.ijoa.org/joeward/wardindex.html

Health Careers High School
4646 Hamilton Wolfe
San Antonio, TX 78229
Phone: 210-617-5400
Fax: 210-617-5423





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