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How to set confidence interval's method to likelihood instead of Wald for the Distribution Profiler in 'Fit Life by X'

Hi everyone,

 

This seems to be a simple question, but I cannot find the solution.

 

In Analyze tab > Reliability and Survival > Fit Life by X, there is a distribution profiler.

 

My problem is that the confidence intervals (CIs) shown here are using Wald's method, even when I selected the likelihood as the preferred CI method.

 

Unfortunately, I also cannot find the button to change from Wald to likelihood CI.

 

So, my question is simply "how to change the CI's method from Wald to likelihood method in the distribution profiler?"

 

Thank you so much in advance for your help.

 

Please find the picture that summarize my question below.

 

I am currently using JMP17.

 

For reference, I attached my dummy data and the code to generate the plots.

Fit Life by X(
 Distribution( Weibull ),
 Nested Model Tests( Location and Scale ),
 Y( :ResponseVariable ),
 X( :Category ),
 Censor( :Censor ),
 Censor Code( 1 ),
 <<Fit Weibull,
 Use Transformation Scale( 0 ),
 Show Overlay by Levels( 1 ),
 <<Set Scale( Weibull, Simultaneous, Show Nonparametric CI( 0 ) ),
 <<Set Scriptables(
  {Weibull Estimate Probability( {560}, {0, 1, 2, 3} ),
  Scatter Plot Show Distribution(
   Weibull( 0 ),
   Lognormal( 0 ),
   Loglogistic( 0 ),
   Frechet( 0 ),
   Exponential( 0 ),
   SEV( 0 ),
   Normal( 0 ),
   Logistic( 0 ),
   LEV( 0 )
  )}
 ),
 Confidence Interval Method( Likelihood ),
 SendToEmbeddedScriptable(
  Dispatch( {"Scatterplot"}, {Use Transformation Scale( 0 )} ),
  Dispatch(
   {"Comparisons", "Distribution Profiler"},
   {1, Confidence Intervals( 1 ), Term Value(
    Category( "A", Lock( 0 ), Show( 1 ) ),
    ResponseVariable( 560, Lock( 0 ), Show( 1 ) )
   )}
  ),
  Dispatch(
   {"Comparisons", "Quantile Profiler"},
   {1, Confidence Intervals( 1 ), Term Value(
    Category( "A", Lock( 0 ), Show( 1 ) ),
    Probability( 0.5, Lock( 0 ), Show( 1 ) )
   )}
  ),
  Dispatch(
   {"Comparisons", "Hazard Profiler"},
   {1, Confidence Intervals( 0 ), Term Value(
    Category( "A", Lock( 0 ), Show( 1 ) ),
    ResponseVariable( 560, Lock( 0 ), Show( 1 ) )
   )}
  ),
  Dispatch(
   {"Comparisons", "Density Profiler"},
   {1, Confidence Intervals( 0 ), Term Value(
    Category( "A", Lock( 0 ), Show( 1 ) ),
    ResponseVariable( 560, Lock( 0 ), Show( 1 ) )
   )}
  ),
  Dispatch(
   {"Results", "Weibull Results", "Distribution Profiler"},
   {1, Confidence Intervals( 1 ), Term Value(
    Category( "C", Lock( 0 ), Show( 1 ) ),
    ResponseVariable( 560, Lock( 0 ), Show( 1 ) )
   )}
  ),
  Dispatch(
   {"Results", "Weibull Results", "Quantile Profiler"},
   {1, Confidence Intervals( 1 ), Term Value(
    Category( "C", Lock( 0 ), Show( 1 ) ),
    Probability( 0.5, Lock( 0 ), Show( 1 ) )
   )}
  ),
  Dispatch(
   {"Results", "Weibull Results", "Hazard Profiler"},
   {1, Confidence Intervals( 0 ), Term Value(
    Category( "C", Lock( 0 ), Show( 1 ) ),
    ResponseVariable( 560, Lock( 0 ), Show( 1 ) )
   )}
  ),
  Dispatch(
   {"Results", "Weibull Results", "Density Profiler"},
   {1, Confidence Intervals( 0 ), Term Value(
    Category( "C", Lock( 0 ), Show( 1 ) ),
    ResponseVariable( 560, Lock( 0 ), Show( 1 ) )
   )}
  )
 ),
 SendToReport(
  Dispatch(
   {"Comparisons", "Distribution Profiler"},
   "10000",
   ScaleBox,
   {Min( 0 ), Max( 1.08602927047269 ), Inc( 0.2 ), Minor Ticks( 1 )}
  ),
  Dispatch(
   {"Results", "Weibull Results"},
   "",
   TabListBox,
   {Set Selected( 6 )}
  ),
  Dispatch(
   {"Results", "Weibull Results", "Distribution Profiler"},
   "10000",
   ScaleBox,
   {Min( 0 ), Max( 1.08602927047269 ), Inc( 0.2 ), Minor Ticks( 1 )}
  )
 )
);

 

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