JMP 14.0 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 13 Online Documentation
JMP 12 Online Documentation
Consumer Research
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MaxDiff
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MaxDiff Platform Options
• Save Bayes Chain
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Save Bayes Chain
You can use the Bayes Chain data table to determine if your estimates have stabilized. The table that is created has a number of rows equal to the Number of Bayesian Iterations (specified on the launch window) plus one. The first row, Iteration 1, gives the starting values. The following rows show the results of the iterations, in order. The columns are arranged as follows:
Iteration
Gives the iteration number, where the first row shows starting values.
Log Likelihood
The log-likelihood of the model for that iteration. You can plot the Log Likelihood against Iteration to view behavior over the burn-in and tuning periods.
Adaptive Sigma for <model effect>
Gives the estimate of the square root of the diagonal entries of the inverse Wishart distribution scale matrix for the corresponding effect.
Acceptance for <model effect>
Gives the sampling acceptance rate for the corresponding effect.
Mean of <model effect>
Gives the estimated mean for the corresponding effect.
Variance of <model effect>
Gives the estimated variance for the corresponding effect.
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Help created on 7/12/2018