Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
st: Model for Poisson-shaped distribution but with non-count data
From
Owen Gallupe <[email protected]>
To
[email protected]
Subject
st: Model for Poisson-shaped distribution but with non-count data
Date
Mon, 5 Dec 2011 15:34:09 -0800
Hello,
Does anyone know what type of regression model I should use? I've been
searching and have not been able to find a modeling approach designed
to meet the distributional properties of a variable I am hoping to
analyse.
The dependent variable has what looks like a Poisson distribution, but
with non-count data. About 28% of the sample scores somewhere between
0 and 1. The highest value is 182.6. Skew = 2.256; kurtosis = 10.002.
N=2776.
I have tried bootstrapped linear regressions and linear regressions
after employing a normalizing transformation using lnskew0 (though the
normalization is not perfect and results in a bimodal residual
distribution).
One further complication is that I need to include random intercepts.
If anyone could help, it would be very much appreciated.
Regards,
Owen Gallupe
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/