BAYES ONESAMPLE
/MISSING SCOPE = ANALYSIS
/CRITERIA CILEVEL = 95
/INFERENCE DISTRIBUTION = POISSON VARIABLES = prevexp ANALYSIS = BOTH
/DATA VARIABLES = prevexp NULLPRIORPARAM = 1 1 ALTERPRIORPARAM = 0.5 1
/PRIOR TYPE = CONJUGATE(0.5 0) .
- 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 Poisson distribution, the prevexp variable, and both Characterize
Posterior Distribution and Estimate Bayes Factor (BOTH) as the
ANALYSIS method.
- DATA specifies shape parameters and alternate hypothesis values for the
estimation of Bayes factors. The example uses the prevexp variable.
- PRIOR specifies the prior distribution. The example uses conjugate
prior.