Distribution ID Plot (Right Censoring)
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Stat > Reliability/Survival > Distribution Analysis (Right Censoring) > Distribution ID Plot

Use Distribution ID Plot (Right Censoring) to determine which distribution best fits your data by comparing how closely the plot points lie to the best-fit lines of a probability plot.

Minitab also provides two goodness-of-fit measures to help you assess how the distribution fits your data:

·    Anderson-Darling for the least squares and maximum likelihood estimation methods

·    Pearson correlation coefficient for the least squares estimation method

You can display up to 50 samples on each plot. All the samples display on a single plot, with different colors and symbols.

Dialog box items

Variables: Enter the columns of failure 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, then enter a column of grouping indicators.

Use all distributions: Choose to have Minitab fit all eleven distributions.

Specify: Choose to fit up to four distributions.

Distribution 1: Check and choose one of eleven distributions: smallest extreme value, Weibull (default), 3-parameter Weibull, exponential, 2-parameter exponential, normal, lognormal, 3-parameter lognormal, logistic, loglogistic, or 3 parameter loglogistic.

Distribution 2: Check and choose one of eleven distributions: smallest extreme value, Weibull, 3-parameter Weibull, exponential, 2-parameter exponential, normal, lognormal (default), 3-parameter lognormal, logistic, loglogistic, or 3-parameter loglogistic.

Distribution 3: Check and choose one of eleven distributions: smallest extreme value, Weibull, 3-parameter Weibull, exponential (default), 2-parameter exponential, normal, lognormal, 3-parameter lognormal, logistic, loglogistic, or 3-parameter loglogistic.

Distribution 4: Check and choose one of eleven distributions: smallest extreme value, Weibull, 3-parameter Weibull, exponential, 2-parameter exponential, normal (default), lognormal, 3-parameter lognormal, logistic, loglogistic, or 3-parameter loglogistic.

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