BAYES ONESAMPLE
/MISSING SCOPE = ANALYSIS
/CRITERIA CILEVEL = 95
/INFERENCE DISTRIBUTION = NORMAL VARIABLES = logSalary logSalbegin ANALYSIS = POSTERIOR
/PRIOR VARDIST = INVCHISQ(2 1) MEANDIST = NORMAL(10) KAPPA = 2 .
- MISSING specifies how missing values are handled. The example specifies
ANALYSIS as the missing values SCOPE. The example excludes
records with missing values on a test-by-test basis. Records with missing values for a field, that
is used for a specific test, are omitted from the test.
- CRITERIA specifies that the significance level for computing credible
intervals (CILEVEL) is set to the default value of 95.
- INFERENCE specifies the distribution and variables for the analysis. The
example uses a normal distribution, the logSalary and
logSalbegin variables, and Characterize Posterior Distribution
(POSTERIOR) as the ANALYSIS method.
- PRIOR specifies the prior distribution. The example uses the
INVCHISQ prior for the variance parameter (VARDIST), the
NORMAL prior for the mean parameter (MEANDIST), and a
KAPPA value of 2.