Parametric Distribution Analysis (Arbitrary Censoring)overview how to example data see also
Parametric Distribution Analysis (Arbitrary Censoring)Stat > Reliability/Survival > Distribution Analysis (Arbitrary Censoring) > Parametric Distribution Analysis
Use Parametric Distribution Analysis-Arbitrary Censoring when you have data that is arbitrarily censored or actual failure times. You can fit one of eleven common distributions to your data, estimate percentiles, survival probabilities, and cumulative failure probabilities, evaluate the appropriateness of the distribution, and draw survival, cumulative failure, hazard, and probability plots.
Use the probability plot to see if the distribution fits your data. To compare the fits of different distributions, see Distribution ID Plot (Arbitrary Censoring), which draws four probability plots in separate regions on the same graph. If no parametric distribution fits your data, use one of the nonparametric distribution analysis commands.
To view your data in different ways, see Distribution Overview Plot (Arbitrary Censoring).
Start variables: Enter the columns of start times. You can enter up to 50 columns (50 different samples).
End variables: Enter the columns of end times. You can enter up to 50 columns (50 different samples).
Frequency columns (optional): Enter the columns of frequency data.
By variable: If all of the samples are stacked in one column, check By variable, and enter a column of grouping indicators in the box
Assumed distribution: Choose one of eleven common distributions: smallest extreme value, Weibull (default), 3-parameter Weibull, exponential, 2-parameter exponential, normal, lognormal, 3-parameter lognormal, logistic, loglogistic, or 3 parameter loglogistic.