(I'm reposting this from the Engineering forum after been advised that it's more a statistics problems rather than an engineering problem). :)(adsbygoogle = window.adsbygoogle || []).push({});

I'm currently working on a costing model for water storage tanks. The type of tanks I'm looking at have a certain life expectancy but due to a limited number of installations there isn't much empirical (observed) data about how long they can actually be expected to last before needing replacement.

I have collected estimates from a number of manufacturers who have each given an expected range of life expectances. Generally these are between about 25-50 years, as shown below:

http://www.sudsolutions.com/misc/tanks.JPG [Broken]

Now what I'd like to do is build some sort of Monte Carlo simulation algorithm using the data in the table above. But I am not sure how to translate that data into a frequency distribution. Does anyone know a formula that I can plug the above numbers into in order to be able to get some kind of frequency distribution? Or am I going about this the wrong way?

Any ideas appreciated. :)

Cheers

-Rob

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# Infrastructure Life Expectancy: Frequency Distribution?

Can you offer guidance or do you also need help?

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