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Industrial Statistics with Minitab by Xavier Tort-Martorell Llabres, Lluis Marco Almagro, Pere Grima Cintas

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29.4 Parametric Analysis

The parametric analysis assumes a theoretical model for the data (exponential, Weibull, lognormal, etc.). The identification of the distribution that best fits the data is achieved through Distribution ID Plot, as previously seen.

Stat > Reliability/Survival > Distribution Analysis (Right Censoring) > Parametric Distribution Analysis

This allows the estimation of reliability values, and to draw reliability and risk functions for complete or right censored data assuming a theoretical model for the data.

nc29uf010.eps
nc29uf011.eps

29.4.1 Graphs

nc29uf012.eps

The session window after carrying out a parametric analysis looks as follows:

nc29uf013.eps

What is the reliability value after 40 000 hours of functioning?

nc29uf014.eps

The Minitab output is:

Thus, the reliability value at 40 000 hours is equal to 0.5766. The reliability value obtained (at 40 000 hours) from a parametric (assuming an exponential model) or nonparametric ...

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