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Fit Analyses |
SAS/INSIGHT software includes the quasi-likelihoods
associated with the variance functions
,
,
,
, and
).
The associated distributions (with the same variance function),
the quasi-likelihoods
, the canonical links
, and the scale parameters
and
for these variance functions are
SAS/INSIGHT software uses the mean deviance, the mean
Pearson , or the value in the Constant
entry field to estimate the dispersion parameter
.The conventional estimate of
is the
mean Pearson
statistic.
Maximum quasi-likelihood estimation is similar to ordinary
maximum-likelihood estimation and has the same parameter
estimates as the distribution with the same variance function.
These estimates are not affected by the dispersion
parameter
, but
is used in the
variance-covariance matrix of the parameter estimates.
However, the likelihood-ratio based statistics, such as
Type I (LR), Type III (LR), and C.I.(LR) for Parameters
tables, are not produced in the analysis.
![]() Related Reading | Logistic Regression, Chapter 16. |
![]() Related Reading | Poisson Regression, Chapter 17. |
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