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Re: st: Imputing, interpolating, or otherwise finding missing data?
From
Maarten buis <[email protected]>
To
[email protected]
Subject
Re: st: Imputing, interpolating, or otherwise finding missing data?
Date
Wed, 30 Jun 2010 22:50:29 -0700 (PDT)
--- On Thu, 1/7/10, L Robinson <[email protected]> wrote:
> I have a dependent variable that nicely follows the
> equation y=-91.78*ln(x) +
> 433.73. y is a growth rate, x is time(1,2,3, etc).
>
> I can't seem to find a way to incorporate the values of this
> equation into either ipolate or ice.
-ice- needs to estimate that equation, as it implements a
technique called Multiple Imputation, which requires that
you not only add some noice around the predictions to represent
uncertainty due to the error term, but also some noice to
represent uncertainty in the parameter estimates. So in -ice-
you should not be able to fix the parameters. However, this
noice representing the uncertainty in the parameters is
usualy small compared to the uncertainty in the error term,
so I would just use -ice- in the regular way.
Hope this helps,
Maarten
--------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany
http://www.maartenbuis.nl
--------------------------
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