Why can't you run a poisson regression model with no predictors and look at
the fit of the model. I generated 1000 Poisson x's and then fit to a poisson
using genmod in sas. The Pearson chi-square below is not significant
indicating fit. the mean is exp(intercept) = exp(-0.0253) = .975 which is
close to the mean of 1 that I specified.
The GENMOD Procedure
Model Information
Data Set WORK.TEMP1
Distribution Poisson
Link Function Log
Dependent Variable y
Observations Used 1000
Criteria For Assessing Goodness Of Fit
Criterion DF Value
Value/DF
Deviance 999 1143.3883
1.1445
Scaled Deviance 999 1143.3883
1.1445
Pearson Chi-Square 999 993.2051
0.9942
Scaled Pearson X2 999 993.2051
0.9942
Log Likelihood -999.6849
Algorithm converged.
Analysis Of Parameter Estimates
Standard Wald 95% Confidence
Chi-
Parameter DF Estimate Error Limits
Square Pr > ChiSq
Intercept 1 -0.0253 0.0320 -0.0881 0.0375
0.62 0.4292
Scale 0 1.0000 0.0000 1.0000 1.0000
NOTE: The scale parameter was held fixed..
Paul R. Swank, Ph.D.
Professor, Developmental Pediatrics
Medical School
UT Health Science Center at Houston
-----Original Message-----
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]]On
Behalf Of Chia C Chong
Sent: Sunday, May 26, 2002 5:38 PM
To: [EMAIL PROTECTED]
Subject: How to test Poisson Distribution?
I have a random variable,X with 1000 samples (all discrete values). I want
to test whether X can sastify a Poisson process or not. How should I test
it?
THanks.
CCC
.
.
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