Overview of Parametric Distribution Analysis (Arbitrary Censoring)

Use Parametric Distribution Analysis (Arbitrary Censoring) to estimate the overall reliability of your system when your data follow a parametric distribution and are arbitrarily censored. Arbitrarily-censored data include left-censored observations and/or interval-censored observations. For more information, go to Data censoring.

You can select from 11 distributions to model your lifetime data: smallest extreme value, Weibull, 3-parameter Weibull, exponential, 2-parameter exponential, normal, lognormal, 3-parameter lognormal, logistic, loglogistic, and 3-parameter loglogistic. For more information on fitting a distribution to your data, go to Distribution fit for reliability analysis.

Based on the fitted distribution that you select, you can do the following:

When your product fails in different ways, you can enter failure mode information for this analysis to evaluate the impact of each type of failure on the overall reliability. Each failure mode is assumed to be independent and may be modeled by different distributions. By analyzing each failure mode individually, you can more easily prioritize your improvement efforts.