How do you use the Weibull Distribution?

It's just one of many useful statistical distributions we must master as reliability engineers.

Let's explore an array of distributions and the problems they can help solve in our day-to-day work.

Detailed Information: When confronted with a set of time-to-failure data, what is your go-to analysis approach?

For me, it's a Weibull plot. It's quick, often provides some insight to ask better questions, and is easy to explain to others. A histogram is another great starting point.

If we know a little about the data source, we may favor the normal or lognormal distributions. If discreet data, binomial is the first choice, yet Poisson or hypergeometric have uses too.

A basic understanding of statistical distributions provides a way to summarize data, providing insights to identify or solve problems.

In this webinar, we'll explore a few distributions useful for reliability engineering work and talk about how to select a distribution, the basics of interpreting distributions, and judging if you have selected the right one.

This Accendo Reliability webinar originally broadcast on 14 April 2015.

Reliability Distributions and Their UseFred Schenkelberg

share

• Social:
• Link:
• Embed:

Download RSS

To view the recorded webinar and slides, visit the webinar page.

Related Content

When it's Not Normal: How to Choose from a Library of Distributions episode
Density Curves (With a Reliability Engineering Example) article
Where does the Bell Curve come from? episode
Reliability and Statistics episode