Overview of Distribution ID Plot (Arbitrary Censoring)

Use Distribution ID Plot (Arbitrary Censoring) to determine which distribution best fits your data when you have failure data with arbitrarily-censored observations.

Arbitrarily-censored data include left-censored observations and/or interval-censored observations. For more information, go to Data censoring.

This analysis allows you to evaluate the fit of 11 parametric distributions that are commonly used to model reliability data: smallest extreme value, Weibull, 3-parameter Weibull, exponential, 2-parameter exponential, normal, lognormal, 3-parameter lognormal, logistic, loglogistic, and 3-parameter loglogistic.

Minitab creates probability plots for the distributions that you select. The probability plots help you determine which, if any, of the parametric distributions best fits your data. In addition, Minitab calculates percentiles and mean time to failure (MTTF) values for each distribution, which provide additional information to consider when selecting a distribution model for reliability analysis. Distribution ID plot (Arbitrary Censoring) can also help you determine whether to use a parametric or nonparametric distribution analysis to further evaluate your data.

Where to find this analysis

To create a distribution ID plot for arbitrarily-censored data, choose Stat > Reliability/Survival > Distribution Analysis (Arbitrary Censoring) > Distribution ID Plot.

When to use an alternate analysis

If your data contain only exact failure times and/or right-censored observations, use Distribution ID Plot (Right Censoring).
By using this site you agree to the use of cookies for analytics and personalized content.  Read our policy