Yes, Kjetil,

As you suggest at the end, the researcher can create a Regression/Linear
Model, the Assumed model, so that the
questions of  interest can be expressed in terms of the parameters of the
Assumed Model, then impose the desired restrictions to obtain a Restricted
Model and then let the least squares program do the dirty work.  SAS makes
this easy, but any Regression Program can be used-- as long as it obtains
the correct answers.

-- Joe




----- Original Message ----- 
From: <[EMAIL PROTECTED]>
To: "King" <[EMAIL PROTECTED]>; <[EMAIL PROTECTED]>
Sent: Tuesday, November 04, 2003 4:31 PM
Subject: Re: Help needed to analyze 2X6 factorial data!


> On 3 Nov 2003 at 19:21, King wrote:
>
> For a book: Box, Hunter & Hunter: "Statistics for experimenters"
>
> This will not give you a cook-book guide for your unbalanced design,
> but general principles.
>
> Start out with graphical analysis, compute the means for each of the
> cells and use those for interaction plots (for each levbel of factor
> A, draw the means for tle levels of factor B united with a line). The
> same with roles reversed.
>
> A linear-model calculation for an unbalanced design by hand is no
> fun, you should consider a simple least-squares program.
>
> Kjetil Halvorsen
>
>
> > Help please!! I desperately need to analyze data from a 2X6 factorial
> > design experiment (Factor A has 2 levels and Factor B has 6 levels).
> > The experiment is replicated 5 times, and there is a variable number
> > (between none to 3) data points per treatment combination per
> > replicate. Are there any on line resources or text books with examples
> > of worked-out problems available? (I'm required to do most of the
> > calculations by hand). It would be better if the resources are in very
> > simple terms, basic enough for a non-statistician like myself to
> > comprehend. Any help with this would be greatly appreciated. Thanks!!
> > .
> > .
> > =================================================================
> > Instructions for joining and leaving this list, remarks about the
> > problem of INAPPROPRIATE MESSAGES, and archives are available at:
> > .                  http://jse.stat.ncsu.edu/                    .
> > =================================================================
>
>
> .
> .
> =================================================================
> Instructions for joining and leaving this list, remarks about the
> problem of INAPPROPRIATE MESSAGES, and archives are available at:
> .                  http://jse.stat.ncsu.edu/                    .
> =================================================================

.
.
=================================================================
Instructions for joining and leaving this list, remarks about the
problem of INAPPROPRIATE MESSAGES, and archives are available at:
.                  http://jse.stat.ncsu.edu/                    .
=================================================================

Reply via email to