Let's explore where the data comes from and how to prepare for analysis. Plus, let's discuss some ways to look at your data initially.

This is the fourth in our webinar series, Reliability Analysis now what?' We have examined how to turn data points (like the different failure points of devices under test) into something simple, useful, and sometimes beautiful! This is something that commercial software can’t do.
We have looked at how we can create this thing called the ‘likelihood’ that covers the probability of different ‘ways’ our failures can be explained. And we essentially create a ‘posse’ of these different ‘ways’ we can describe our data based on how likely they are. And that is what Markov Chain – Monte Carlo (MCMC) simulation can do for us. In the last webinar, we looked at what MCMC is. And now, it is time for us to ask our computers to do the heavy work
So in this webinar, we show you how to get your computer to help you give useful reliability information to your boss, manager, director, or whoever it will be that thinks you are a star for removing all the ‘black magic’ of reliability!
This Accendo Reliability webinar originally broadcast on 24 November 2020.
To view the recorded video/audio of the event, visit the webinar page.
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This webinar is about how we use this thing called Markov Chain Monte Carlo Simulation (MCMC) to create this posse.'
We show you how to get your computer to help you give useful reliability information to your boss, manager, director, or whoever.
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there are ways you can suck out information from a group of experts in a quantifiable and remarkably accurate way.
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