2.5.9 Nonparametric Distribution Analysis (Arbitrary Censoring) (Pro)

Origin’s Nonparametric Distribution Analysis (Arbitrary Censoring) uses Turnbull or Actuarial estimations to process any mixture of left-, right-, and interval-censored data without assuming a distribution. It yields survival probabilities, cumulative failure probabilities, and quantiles such as the median.

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.

Note: This tool handles mixed-censored data. If your data are purely right-censored, use Parametric Distribution Analysis for Right Censoring instead.

The Nonparametric Distribution Analysis is integrated into the Reliability and Survival app.