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).

## Dialog box items

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.

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