Regression with Life Data - Estimate
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Stat > Reliability/Survival > Regression with Life Data > Estimate

Percentile and Probability Estimation

Enter new predictor values: Choose to specify values for predictors to estimate percentiles and/or survival probabilities. Most often, you would enter the design value. You can enter the values separated by spaces, or one or more columns. Values (or columns) should be listed in the order that the corresponding variables appear in the model.

Use predictor values in data (storage only): Choose to use the predictor values from the data to estimate percentiles and/or survival probabilities.

Estimate percentiles for percents: Enter the percents for which you want to estimate percentiles. By default, Minitab estimates the 50th percentile. If you want to look at the beginning, middle, and end of the product's lifetime for a given predictor value, enter 10 50 90 (the 10th, 50th, 90th percentiles). Minitab then estimates how long it takes for 10% of the units to fail, 50% of the units to fail, and 90% of the units to fail.

Store percentiles

Percentiles: Check to store the percentiles.

Standard error: Check to store the standard error of the percentiles.

Confidence limits: Check to store the confidence limits for the percentiles.

Estimate probabilities for times: Enter the times for which you want to estimate survival probabilities or cumulative failure probabilities.

Estimate survival probabilities: Choose to estimate survival probabilities.

Estimate cumulative failure probabilities: Choose to estimate cumulative failure probabilities.

Store probabilities

Probabilities: Check to store the survival probabilities or cumulative failure probabilities.

Confidence limits: Check to store the confidence limits for the survival probabilities or cumulative failure probabilities.

Confidence level: Enter the confidence level for all of the confidence intervals. The default is 95%.

Confidence intervals: Choose to use two-sided confidence intervals (the default) or just an upper or lower confidence bound.