LOGSCALE Statement

The RELIABILITY Procedure

LOGSCALE Statement

LOGSCALE <effect-list> < / >;

LOGSCALE is a new statement in the RELIABILITY procedure. You use the LOGSCALE statement to model the logarithm of the distribution scale parameter as a function of explanatory variables. A MODEL statement must be present to specify the model for the distribution location parameter. effect-list is a list of variables in the input data set representing the values of the independent variables in the model for each observation, and combinations of variables representing interaction terms. It can contain any variables or combination of variables in the input data set. It can contain the same variables as the MODEL statement, or it can contain different variables. The variables in the effect-list can be any combination of indicator variables named in a CLASS statement as well as continuous variables. The coefficients of the explanatory variables are estimated by maximum likelihood.

The following options are available for the LOGSCALE statement.

Table 2.1: LOGSCALE Statement Options

Option	Option Description
INITIAL=number list	specifies initial values for log-scale regression parameters other than the location, or intercept term
INTERCEPT=number < INTINIT >	specifies initial or fixed value of the intercept parameter, depending on whether INTINIT is present

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