Enter your data for Distribution Overview Plot (Arbitrary Censoring)

Stat > Reliability/Survival > Distribution Analysis (Arbitrary Censoring) > Distribution Overview Plot

Enter your data

Complete the following steps to enter your data. For more information on censored data, go to Data censoring.

  1. In Start variables, enter the column that contains the start times. You can enter up to 50 columns (for 50 different samples). The start times in the column depend on how the data are censored.
    Observation Value in Start column
    Exact failure time Failure time
    Right censored Time after which the failure occurred
    Left censored * (missing value symbol)
    Interval censored Time at start of interval during which the failure occurred
  2. In End variables, enter the column that contains the end times. You can enter up to 50 columns (for 50 different samples). The end times in the column depend on how the data are censored.
    Observation Value in End column
    Exact failure time Failure time
    Right censored * (missing value symbol)
    Left censored Time before which the failure occurred
    Interval censored Time at end of interval during which the failure occurred
  3. If you have frequency data for each variable, in Frequency columns (optional), enter a column that indicates the number of units for each failure time or censoring time.
  4. If all the samples are stacked in one column, select By variable and enter a column of grouping indicators. For example, you might enter a column to indicate different locations or a change in design.
In this worksheet, the Start column contains the start times and the End column contains the end times. The Frequency column indicates the number of units that are included in each interval. For example, 20 units are left censored at 10,000 hours. 2 units are exact failures at 30,000 hours. 26 units are interval censored between 30,000 and 40,000 hours. 190 units are right censored at 60,000 hours.

C1 C2 C3
Start End Frequency
* 10000 20
10000 20000 10
20000 30000 10
30000 30000 2
30000 40000 26
40000 50000 40
50000 60000 55
60000 * 190

Specify distribution analysis

Specify the distribution analysis for the overview plot:
  • Parametric analysis: Fit your data with one of 11 parametric distributions. From Distribution, select a distribution model to use for the overview plots. Base your decision on process knowledge or an evaluation of distribution fit using a distribution ID plot. For more information on choosing a distribution model, go to Distribution fit for reliability analysis.
  • Nonparametric analysis: Perform a nonparametric analysis. Use this option when you cannot assume that your data follow a parametric distribution.
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