Normal Linear Model: A
generalized linear model with Normal (Gaussian) errors is used to solve the
model equation of the form
,
where
are the exploring
variables. The link functions are:
identity link:
log link:
This model uses the maximum
likelihood method to solve for the parameters.
Poisson Regression:
A generalized linear model
with Poisson errors is used to solve the model equation of the form
,
where
are the exploring
variables. The link functions are:
identity link:
log link:
When offset is involved, the
model equation would be:
This model uses the maximum
likelihood method to solve for the parameters.
Binomial Regression:
A generalized linear model
with Binomial errors is used to solve the model equation of the form
,
where
are the exploring
variables. The link functions are:
logit link:
probit link:
This model uses the maximum
likelihood method to solve for the parameters. The odds=log(p/(1p)) and
the odds ratios (OR=exp())
will also be reported on your data sheet.
