SourcePro
:
Business Analysis Module User’s Guide
:
Definitions
:
Logistic Regression
: Parameter Variances and Covariances
Parameter Variances and Covariances
Estimates for the variances and covariances of the estimated parameters
are computed using the following equations.
Let
, where
X
is the
matrix regression matrix, and
V
is an
diagonal matrix with
i
th
diagonal term
π
i
(1 –
π
i
). That is, the matrix
X
is:
and the matrix
V
is:
Denote:
The estimate of the variance of
is then the
j
th
diagonal term of the matrix
, and the off-diagonal terms are the covariance estimates
for
and
.
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