How to define distribution using historical data

General discussion and questions about project risk management and risk analysis software RiskyProject. Includes discussion on how to perform efficient project risk analysis using our software.

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How to define distribution using historical data

Post by Hato » Mon Jan 18, 2016 10:53 am

Have have a number samples with historical duration of some tasks. How can we use it to define statistical distribution for task duration?
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Re: How to define distribution using historical data

Post by Intaver Support » Mon Jan 18, 2016 11:10 am

There are a number of way to define statistical distribution using historical raw data. One of the ways is to use custom or discrete distribution. The second way is to fit continuous statistical distribution, such as beta or normal. For distribution fitting we recommend using Stat::Fit software from Geer Mountain Software. It is integrated with RiskyProject. You can launch this software from Distribution tab of Task Information Dialog box (double click on Task ID). Stat::Fit software needs to be installed on your computer. If it is not installed, the dialog box will come up and tell you where is software can be obtained. There is a free student version of the software, but it has a limited number of statistical distributions.


You can also use Custom or Discrete distributions in RiskyProject. You can define distribution the same way you did with any any distribution (Distribution tab of Task Information Dialog box), and select Custom or Discrete. Then you can enter data samples and intervals, associated with this data samples. Based on our experience using Custom or Discrete distributions would give you accurate results of project risk analysis, but you need to have at least 5-10 and more samples.
Intaver Support Team
Intaver Institute Inc.
Home of Project Risk Management and Project Risk Analysis software RiskyProject

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