Select the analysis options for Distribution ID Plot (Arbitrary Censoring)

Stat > Reliability/Survival > Distribution Analysis (Arbitrary Censoring) > Distribution ID Plot > Options
Estimation Method
  • Maximum Likelihood: Estimate the distribution parameters by maximizing the likelihood function.
  • Least Squares (failure time(X) on rank(Y)): Estimate the distribution parameters by fitting a regression line to the points on a probability plot.

For more information on these two methods, go to Least squares estimation method and maximum likelihood estimation method.

Estimate percentiles for these percents
Enter the percents for which you want to estimate percentiles. A percent for a percentile is the percentage of items that are expected to fail by a particular time (percentile). Therefore, each value that you enter must be between 0 and 100 and should indicate the percentage of items that will fail. The nth percentile has n% of the observations below it, and (100 – n)% of observations above it.
By default, Minitab estimates the 1st, 5th, 10th, and 50th percentiles. To examine the end of the product's lifetime, enter a higher value. For example, if you enter 90, Minitab estimates how long it takes for 90% of the units to fail.
Show different variables or by levels
Indicate how you want to display the graphs for each variable or each level of the By variable. You can overlay the graphs for each variable (or each level) on the same graph, or you can display each graph separately.
Minimum and Maximum X Scale
  • Use default values: Use the values that Minitab automatically determines for the minimum and the maximum of the X scale.
  • Use: Select to enter a minimum value for the X scale or a maximum value for the X scale, or both.
You can enter a custom title for the graphs.
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