Overview of Parametric Distribution Analysis (Right Censoring)

Use Parametric Distribution Analysis (Right Censoring) to estimate the overall reliability of your system when your data follow a parametric distribution and contain exact failure times and/or right-censored observations. When data are right-censored, failures are recorded only if they occur before a particular time. A unit surviving longer than that time is considered a right-censored observation. 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. Based on the fitted distribution, 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.