Generalized Linear/Nonlinear
Models Startup Panel
Ribbon
bar. Select the Statistics
tab. In the Advanced/Multivariate
group, click Advanced Models
and from the menu, select Generalized
Linear/Nonlinear to display the Generalized
Linear/Nonlinear Models Startup Panel.
Classic
menus. On the Statistics - Advanced Linear/Nonlinear Models
submenu, select Generalized Linear/Nonlinear
Models to display the Generalized
Linear/Nonlinear Models Startup Panel.
The Startup Panel contains two tabs: Quick and
Advanced. Use the options
on the Quick tab to specify the
Generalized linear model you
want to use. Use the options on the Advanced
tab to select the Type of analysis,
Specification method, the appropriate Distribution
function (for the response variable), and the Link
function. To perform a generalized linear/nonlinear model analysis,
a data file must be selected at this point.
OK.
Click the OK button to display the appropriate analysis specification
dialog box, depending on the Specification
method selected on the Advanced
tab.
Cancel.
Click the Cancel
button to close the Startup Panel without performing an analysis.
Options.
See Options
Menu for descriptions of the commands on this menu.
Open
Data. Click the Open Data
button to display the Select Data Source dialog box, which is
used to choose the spreadsheet on which to perform the analysis. The Select Data Source dialog box contains
a list of the spreadsheets that are currently active.
Select
Cases. Click the Select
Cases button to display the Analysis/Graph
Case Selection Conditions dialog box, which contains options
to create conditions for which cases will be included (or excluded) in
the current analysis. More information is available in the case selection
conditions overview,
syntax
summary, and dialog
box description.
W.
Click the W (Weight) button to
display the Analysis/Graph Case Weights dialog box,
which contains options to adjust the contribution of individual cases
to the outcome of the current analysis by "weighting" those
cases in proportion to the values of a selected variable. Each observation
contributes the weighting variable's value for that observation. The weight
values need not be integers. This module can use fractional case weights
in most computations. Moment statistics (e.g., mean,
variance) are
based on the number of (unweighted) observations (N-1).
The sums of squares and cross products will always be based on the weighted
values of the respective observations. For more information on options
for using integer case weights, see also Spreadsheet
Case Weights.
Dispersion Param. Enter the dispersion parameter
in the Param field. This option
is available only when Negative binomial
log model is selected as the distribution. The value of the dispersion
parameter is restricted to be equal to or greater than zero. An entered
value of zero means the dispersion parameter is estimated via maximum
likelihood. Otherwise, the entered constant value is used for the dispersion
parameter. This enables you to model the data according to a Poisson-Gamma
mixture distribution.
Index Param.
Enter the index parameter in the Param
field. This option is available only when Tweedie
is selected as the distribution. It defines the variance function as V(µ)
= µIndex Param.
This parameter is restricted such that 1 < Index
Param. < 2. This defines a mixed distribution or a Poisson-Gamma distribution
with support greater than 0 and a mass at 0.
Power
parameter. Enter the power parameter in the Param.
field. This option is
available only when Power is
selected as the Link
function on the Advanced
tab. The power link function is defined as f(z) = za,
for a given a.
For more information, refer to the Introductory
Overview. See also, GLZ - Index.