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From: ke on 27 Jul 2010 12:31
I am considering purchasing the statistics toolbox to help plan a set
of simulations in which several parameters are varied, with the goal
of identifying which parameters give the biggest effect on some chosen
variables. The parameters aren't independant: When several parameters
are increased, the resulting effect may be larger than the cumulative
effect of increasing each individual variable. A colleague said that
Design of Experiments (DoE) theory can be useful for this sort of
problem (I have no background however), and I noticed that the
Statistics Toolbox contains some DoE routines. I need to decide
whether to purchase the toolbox to access these routines.

If you use these DoE routines, do you find them useful, or do you
prefer your own code?
From: Rune Allnor on 27 Jul 2010 13:01
On 27 Jul, 18:31, ke <kateedward...(a)hotmail.com> wrote:
> I am considering purchasing the statistics toolbox to help plan a set
> of simulations in which several parameters are varied, with the goal
> of identifying which parameters give the biggest effect on some chosen
> variables.  The parameters aren't independant: When several parameters
> are increased, the resulting effect may be larger than the cumulative
> effect of increasing each individual variable.  A colleague said that
> Design of Experiments (DoE) theory can be useful for this sort of
> problem (I have no background however), and I noticed that the
> Statistics Toolbox contains some DoE routines.  I need to decide
> whether to purchase the toolbox to access these routines.
>
> If you use these DoE routines, do you find them useful, or do you
> prefer your own code?

Using a toolbox to design an experiment is like using a hammer
to design a building - plain nonsense.

You can use the hammer to *implement* the design - build the
house - but it is up to an architect or similar to come up with
a plan of what to build.

Designing the experiment is *your* responsibility.

Rune
From: Peter Perkins on 28 Jul 2010 09:43
On 7/27/2010 1:01 PM, Rune Allnor wrote:
> Designing the experiment is *your* responsibility.

Rune, I imagine that ke was referring to tools for creating things like
D-optimal designs, or doing power analysis, or making effects plots.
While these are just tools to implement or analyze a chosen design, they
are what is traditionally known as (statistical) "Design of
Experiments", and the Statistics Toolbox has a variety of functions
available:

<http://www.mathworks.com/access/helpdesk/help/toolbox/stats/bq_w_hm.html#brj0q33-1>

I will leave it up to others to answer ke's question, which was, "Do you
find these useful?" If the answer is no, I'd be interested in hearing more.

- Peter Perkins
The MathWorks, Inc.
From: K E on 9 Aug 2010 12:25
Peter Perkins <Peter.Perkins(a)MathRemoveThisWorks.com> wrote in message <i2pc5l$47l$1(a)fred.mathworks.com>...
> On 7/27/2010 1:01 PM, Rune Allnor wrote:
> > Designing the experiment is *your* responsibility.
>
> Rune, I imagine that ke was referring to tools for creating things like
> D-optimal designs, or doing power analysis, or making effects plots.
> While these are just tools to implement or analyze a chosen design, they
> are what is traditionally known as (statistical) "Design of
> Experiments", and the Statistics Toolbox has a variety of functions
> available:
>
> <http://www.mathworks.com/access/helpdesk/help/toolbox/stats/bq_w_hm.html#brj0q33-1>
>
> I will leave it up to others to answer ke's question, which was, "Do you
> find these useful?" If the answer is no, I'd be interested in hearing more.
>
> - Peter Perkins
> The MathWorks, Inc.

Yes, exactly what I had in mind. (Rune, I also had never heard of formal 'Design of Experiments' before my mechanical engineering colleague mentioned it).
If anyone uses these tools in the Statistical Toolbox, I would like to know they have been helpful.
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