That doesn't necessarily sound surprising. For example, if you run the
example
given in the -ztp- help the smallest predicted value is 1.022. As you
want at least
some predictions pass near one, it isn't surprising that some go below.
You wouldn't think much of a model that always predicted much more than
one when
the observed was one.
There isn't anything here about sample size, merit of model or
characteristics
of data, which presumably experts would find instructive.
Nick
[email protected]
Gillian Holloway
I'm analyzing zero-truncated bird count data using the standard code for
zero-truncated poisson and zero-truncated negative binomial regression.
However, when I calculate the predicted values I'm getting some
estimates below 1, even though 1 is the minimum observed value in the
data. Any ideas what the problem could be?
Example code:
ztp Count SLSoft if Count>0 & Sppcode==38, iterate(100)
predict GRJA
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