Overview (BAYES ONESAMPLE: Poisson command)
BAYES ONESAMPLE: Poisson invokes the one-sample inference procedure. The procedure
provides options for executing Bayesian one-sample inference on Binomial distribution. Poisson
distribution, a useful model for rare events, assumes that within small time intervals, the
probability of an event to occur is proportional to the length of waiting time. A conjugate prior
within the Gamma distribution family is used when drawing Bayesian statistical inference on Poisson
distribution.
Options
- Missing values
- You can specify the method in which to control missing values (exclude cases pairwise or listwise).
- Credible interval percentage
- You can specify the significance level for computing credible intervals.
- Bayesian analysis method
- You can specify
POSTERIOR,BAYESFACTOR, orBOTH. - Set parameters
- You can set parameters for the estimation of Bayes factors.
- Prior distribution settings
- You can specify the prior distribution for the variance parameter.
Subcommand order
- The subcommands can be named in any order.
Syntax rules
- PRECDIST and VARDIST are mutually exclusive.
- The /DATA sublist must be a subset of VARIABLES.
Limitations
- PRECDIST and VARDIST are mutually exclusive.