2.5.2 Nonparametric Distribution Analysis (Right Censoring) (Pro)

Nonparametric Distribution Analysis for Right Censoring uses the Kaplan-Meier (product-limit) or or Actuarial estimations to estimate survival and cumulative failure functions from your right-censored data without assuming an underlying parametric distribution, plots survival/hazard curves, and reports key quantities, such as median life, survival probabilities at any time, and the time when a given failure proportion is reached, for contract specs or future design change.

Use it as your go-to tool when:

• there is no quantitative evidence that a parametric distribution (Weibull, log-normal, etc.) adequately fit your data. Because its purely data-driven, the method usually serves as a first-line screen for examining the data before committing to any specific parametric models.
• you need an unbiased benchmark to validate or compare results from a parametric model.